1 Abstract

The muHVT package is a collection of R functions to facilitate building topology preserving maps for rich multivariate data analysis. Tending towards a big data preponderance, a large number of rows. A collection of R functions for this typical workflow is organized below:

Data Compression: Vector quantization (VQ), HVQ (hierarchical vector quantization) using means or medians. This step compresses the rows (long data frame) using a compression objective.
Data Projection: Dimension projection of the compressed cells to 1D,2D or 3D with the Sammons Non-linear Algorithm. This step creates topology preserving map (also called as embedding) coordinates into the desired output dimension.
Tessellation: Create cells required for object visualization using the Voronoi Tessellation method, package includes heatmap plots for hierarchical Voronoi tessellations (HVT). This step enables data insights, visualization, and interaction with the topology preserving map. Useful for semi-supervised tasks.
Prediction: Scoring new data sets and recording their assignment using the map objects from the above steps, in a sequence of maps if required.

X	price	speed	hd	ram	screen	cd	multi	premium	ads	trend
1	1499	25	80	4	14	no	no	yes	94	1
2	1795	33	85	2	14	no	no	yes	94	1
3	1595	25	170	4	15	no	no	yes	94	1
4	1849	25	170	8	14	no	no	no	94	1
5	3295	33	340	16	14	no	no	yes	94	1
6	3695	66	340	16	14	no	no	yes	94	1

Row.No	price	speed	hd	ram	screen	ads
2463	2799	50	230	8	15	216
2511	2197	33	270	4	14	216
2227	2744	50	340	8	17	275
526	2999	66	245	16	15	139
4291	1974	33	200	4	14	248
2986	2490	33	528	16	14	267

3 Map A : Base Compressed Map

Let us try to visualize the compressed Map A from the flow diagram below.

Figure 1: Flow map with highlighted bounding box in red around compressed map A

This package can perform vector quantization using the following algorithms -

Hierarchical Vector Quantization using k−means
Hierarchical Vector Quantization using k−medoids

For more information on vector quantization, refer the following link.

The HVT function constructs highly compressed hierarchical Voronoi tessellations. The raw data is first scaled and this scaled data is supplied as input to the vector quantization algorithm. The vector quantization algorithm compresses the dataset until a user-defined compression percentage/rate is achieved using a parameter called quantization error which acts as a threshold and determines the compression percentage. It means that for a given user-defined compression percentage we get the ‘n’ number of cells, then all of these cells formed will have a quantization error less than the threshold quantization error.

Let’s try to comprehend the HVT function first before moving ahead.

HVT(
  dataset,
  min_compression_perc,
  n_cells,
  depth,
  quant.err,
  distance_metric = c("L1_Norm", "L2_Norm"),
  error_metric = c("mean", "max"),
  quant_method = c("kmeans", "kmedoids"),
  normalize = TRUE,
  diagnose = FALSE,
  hvt_validation = FALSE,
  train_validation_split_ratio = 0.8
)

Each of the parameters have been explained below :

dataset - A dataframe with numeric columns. This is the input dataset on which the compression algorithm will be applied.
min_compression_perc - An integer indicating the minimum percent compression rate to be achieved for the dataset. The algorithm aims to compress the dataset while maintaining at least this specified compression percentage.
n_cells - An integer indicating the number of cells per hierarchy (level). This parameter determines the granularity or level of detail in the hierarchical vector quantization.
depth - An integer indicating the number of levels in the hierarchy. A depth of 1 means no hierarchy (single level), while higher values indicate multiple levels of hierarchy.
quant.error - A number indicating the quantization error threshold. A cell will only breakdown. into further cells if the quantization error of the cell is above the defined quantization error threshold.
projection.scale - A number indicating the scale factor for the tesselations so as to visualize the sub-tesselations. It helps in adjusting the visual representation of the hierarchy to make the sub-tesselations more visible.
scale_summary - A list with mean and standard deviation values for all the features in the dataset. Pass the scale summary when the input dataset is already scaled or normalize is set to False.
distance_metric - The distance metric can be L1_Norm or L2_Norm. L1_Norm is selected by default. The distance metric is used to calculate the distance between an n dimensional point and centroid. The user can also pass a custom function to calculate this distance.
error_metric - The error metric can be mean or max. max is selected by default. max will return the max of m values and mean will take mean of m values where each value is a distance between a point and centroid of the cell. Moreover, the user can also pass a custom function to calculate the error metric.
quant_method - The quantization method can be kmeans or kmedoids. kmeans is selected by default.
normalize - A logical value indicating whether the columns in your dataset need to be normalized. Default value is TRUE. The algorithm supports Z-score normalization.
diagnose - A logical value indicating whether user wants to perform diagnostics on the model. Default value is TRUE.
hvt_validation - A logical value indicating whether user wants to holdout a validation set and find mean absolute deviation of the validation points from the centroid. Default value is FALSE.
train_validation_split_ratio - A numeric value indicating train validation split ratio. This argument is only used when hvt_validation has been set to TRUE. Default value for the argument is 0.8.

We will use the HVT function to compress our data while preserving essential features of the dataset. Our goal is to achieve data compression upto atleast 80%. In situations where the compression ratio does not meet the desired target, we can explore adjusting the model parameters as a potential solution. This involves making modifications to parameters such as the quantization error threshold or increasing the number of cells and then rerunning the HVT function again.

In our example we will iteratively increase the number of cells until the desired compression percentage is reached instead of increasing the quantization threshold because it may reduce the level of detail captured in the data representation

First, we will construct map A by using the below mentioned model parameters.

3.0.1 Iteration 1:

We will pass the below mentioned model parameters along with training dataset to HVT function.

Model Parameters

Number of Cells at each Level = 200
Maximum Depth = 1
Quantization Error Threshold = 0.2
Error Metric = Max
Distance Metric = Manhattan

set.seed(240)
map_A <- list()
map_A  <- muHVT::HVT(
  trainComputers,
  n_cells = 200,
  depth = 1,
  quant.err = 0.2,
  projection.scale = 10,
  normalize = T,
  distance_metric = "L1_Norm",
  error_metric = "max",
  quant_method = "kmeans"
)

Let’s checkout the compression summary.

compressionSummaryTable(map_A[[3]]$compression_summary)

segmentLevel	noOfCells	noOfCellsBelowQuantizationError	percentOfCellsBelowQuantizationErrorThreshold	parameters
1	200	83	0.42	n_cells: 200 quant.err: 0.2 distance_metric: L1_Norm error_metric: max quant_method: kmeans

As it can be seen from the table above, 42% of cells have reached the quantization threshold error. Therefore we can further subdivide the cells by increasing the n_cells parameters and then see if desired compression (80%) is reached

3.0.2 Iteration 2:

Since, we are yet to achive atleast 80% compression. Let’s try to compress again using the below mentioned set of model parameters.

Model Parameters

Number of Cells at each Level = 440
Maximum Depth = 1
Quantization Error Threshold = 0.2
Error Metric = Max
Distance Metric = Manhattan

map_A <- list()
map_A <-muHVT::HVT(trainComputers,
                n_cells = 440,
                quant.err = 0.2,
                depth = 1,
                distance_metric = "L1_Norm",
                error_metric = "max",
                quant_method = "kmeans",
                normalize = T)

As per the manual, map_A[[3]] gives us detailed information about the hierarchical vector quantized data. map_A[[3]][['summary']] gives a nice tabular data containing no of points, Quantization Error and the codebook.

The datatable displayed below is the summary from map A (containing 440 records)

summaryTable(map_A[[3]]$summary,scroll = T,limit = 500)

Segment.Level	Segment.Parent	Segment.Child	n	Cell.ID	Quant.Error	price	speed	hd	ram	screen	ads
1	1	1	7	46	0.08	-0.76	-0.89	-0.88	-0.76	-0.67	1.57
1	1	2	10	108	0.08	-0.80	-0.89	-0.16	-0.76	-0.67	0.67
1	1	3	15	223	0.12	0.37	-0.89	-0.72	-0.05	0.43	-1.65
1	1	4	11	54	0.07	-1.50	-0.89	-0.75	-0.76	-0.67	0.62
1	1	5	8	146	0.13	-0.31	0.68	-0.95	-0.89	-0.67	-0.14
1	1	6	11	150	0.16	-0.66	0.68	-0.78	-0.79	-0.67	-0.73
1	1	7	11	170	0.1	0.03	-1.24	-0.13	-0.05	-0.67	0.38
1	1	8	8	334	0.15	0.62	2.30	0.08	-0.05	0.43	0.04
1	1	9	8	114	0.07	-0.16	0.68	-1.19	-1.11	-0.67	0.87
1	1	10	7	248	0.17	0.51	-0.08	0.34	-0.05	-0.67	-0.30
1	1	11	9	140	0.12	-0.01	0.68	-1.15	-1.00	-0.67	0.33
1	1	12	7	219	0.14	-1.36	0.24	0.46	-0.05	-0.67	-0.74
1	1	13	9	271	0.05	-1.08	0.68	0.49	-0.05	0.43	-0.84
1	1	14	19	109	0.06	-0.31	-0.89	-0.74	-0.76	-0.67	0.38
1	1	15	6	176	0.08	-0.72	-0.89	-0.07	-0.05	0.43	0.72
1	1	16	17	332	0.14	0.42	2.30	0.10	-0.05	0.43	1.50
1	1	17	12	18	0.05	-1.21	-1.27	-1.19	-1.11	-0.67	0.97
1	1	18	19	149	0.16	-0.68	-0.08	-0.46	-0.76	0.43	0.79
1	1	19	17	428	0.35	0.18	2.30	2.53	1.37	0.43	-2.22
1	1	20	20	320	0.36	0.82	-0.16	-0.09	-0.12	2.64	0.71
1	1	21	3	305	0.18	2.27	-0.35	-0.01	-0.05	-0.67	-1.32
1	1	22	7	227	0.1	-0.51	-0.89	0.45	-0.05	0.43	-0.47
1	1	23	10	178	0.12	0.00	0.68	-0.86	-0.76	-0.67	-0.90
1	1	24	9	365	0.1	0.68	-0.08	1.20	1.37	0.43	-0.36
1	1	25	5	14	0.11	-1.99	-0.89	-0.96	-1.11	-0.67	0.18
1	1	26	3	411	0.05	1.25	-0.89	2.29	2.79	0.43	0.57
1	1	27	18	122	0.15	-0.18	-0.98	-0.85	-0.76	0.43	0.68
1	1	28	15	189	0.11	0.40	-0.92	0.03	-0.05	-0.67	0.87
1	1	29	11	107	0.11	-0.49	-0.96	-0.88	-0.76	-0.67	-0.64
1	1	30	7	423	0.47	3.55	0.12	2.51	1.37	-0.67	0.44
1	1	31	14	90	0.05	-0.63	-0.89	-0.79	-0.76	-0.67	0.58
1	1	32	22	430	0.24	0.63	0.75	3.07	2.79	0.43	-2.27
1	1	33	5	390	0.3	1.37	-0.89	3.73	-0.19	-0.45	0.70
1	1	34	25	101	0.18	-0.85	-0.97	-0.71	-0.76	0.43	0.84
1	1	35	11	425	0.07	0.15	2.30	1.70	1.37	0.43	-2.39
1	1	36	10	358	0.05	0.24	-0.89	1.20	1.37	0.43	-0.84
1	1	37	16	166	0.11	0.03	0.68	-1.08	-0.78	-0.67	-1.65
1	1	38	13	45	0.05	-0.91	-0.89	-1.19	-1.11	-0.67	0.42
1	1	39	8	383	0.12	1.15	2.30	0.45	1.37	-0.67	-0.16
1	1	40	5	9	0.07	-1.24	-0.97	-1.19	-1.11	-0.67	1.57
1	1	41	11	419	0.06	1.41	-0.89	2.29	2.79	0.43	-0.82
1	1	42	8	242	0.14	-0.81	-0.08	0.30	-0.05	0.43	-0.65
1	1	43	13	179	0.09	0.41	0.68	-0.76	-0.76	-0.67	0.40
1	1	44	5	375	0.04	0.06	-0.08	1.70	1.37	0.43	-0.79
1	1	45	20	129	0.14	-1.15	0.68	-0.79	-0.76	-0.67	-0.40
1	1	46	10	292	0.22	0.86	0.68	-0.65	-0.12	0.43	-1.41
1	1	47	5	79	0.12	-0.89	-1.04	-0.94	-0.05	-0.67	1.02
1	1	48	23	246	0.11	-0.42	0.68	0.46	-0.05	-0.67	-0.63
1	1	49	8	207	0.25	0.74	-0.89	-0.40	-0.40	0.43	0.52
1	1	50	11	27	0.06	-1.06	-1.27	-1.19	-1.11	-0.67	0.43
1	1	51	8	51	0.11	-1.23	-0.08	-1.05	-0.85	-0.67	0.94
1	1	52	19	288	0.09	0.81	-0.89	0.45	1.37	-0.67	0.88
1	1	53	7	154	0.1	-0.62	0.68	-0.15	-0.76	-0.67	0.84
1	1	54	10	261	0.15	0.61	-0.08	-0.67	-0.05	0.43	-1.40
1	1	55	10	195	0.15	0.18	0.77	-0.09	-0.76	-0.67	0.83
1	1	56	14	250	0.09	0.52	0.68	-0.69	-0.05	-0.67	-1.61
1	1	57	20	331	0.2	-0.63	0.68	0.30	-0.76	2.64	-0.95
1	1	58	9	379	0.15	1.33	-0.08	-0.65	-0.29	2.64	-1.52
1	1	59	14	11	0.21	-0.28	-1.05	-0.79	-0.76	2.64	0.53
1	1	60	29	359	0.13	1.36	0.68	0.18	1.37	0.43	0.77
1	1	61	6	337	0.1	2.46	0.68	0.21	-0.05	-0.67	-0.87
1	1	62	6	1	0.17	-0.17	-1.21	-1.02	-0.76	2.64	1.32
1	1	63	28	243	0.33	-0.33	2.30	-0.23	-0.46	-0.67	-0.88
1	1	64	8	274	0.07	0.41	-1.27	0.45	1.37	-0.67	0.68
1	1	65	13	362	0.14	1.07	0.75	0.35	1.37	0.43	1.34
1	1	66	10	143	0.07	-0.34	-0.89	-0.80	-0.05	-0.67	-1.66
1	1	67	4	265	0.05	-0.55	0.68	1.23	-0.05	-0.67	-0.69
1	1	68	11	13	0.15	-0.83	-0.89	-0.25	-0.76	2.64	-0.33
1	1	69	8	298	0.17	-0.62	0.20	2.29	-0.05	-0.67	-0.95
1	1	70	4	335	0.06	1.34	-0.08	0.45	1.37	-0.67	-0.08
1	1	71	20	204	0.16	0.09	-0.08	0.02	-0.05	-0.67	0.86
1	1	72	10	42	0.06	-1.49	-0.89	-0.75	-0.76	-0.67	1.04
1	1	73	1	429	0	3.08	0.68	0.04	4.20	0.43	0.71
1	1	74	14	186	0.14	-0.79	-0.89	0.45	-0.05	-0.67	-0.68
1	1	75	4	410	0.37	2.27	0.68	3.73	-0.23	-0.40	0.68
1	1	76	9	163	0.16	1.05	-0.89	-0.41	-0.60	-0.67	0.61
1	1	77	10	400	0.07	-0.03	0.68	1.70	1.37	0.43	-2.38
1	1	78	6	275	0.18	1.14	0.68	0.13	-0.05	-0.67	-0.18
1	1	79	25	241	0.16	-0.88	0.68	0.40	-0.05	-0.67	-1.06
1	1	80	6	245	0.14	-1.22	0.68	-0.30	-0.05	0.43	-0.91
1	1	81	21	120	0.16	-0.46	-0.08	-0.82	-0.62	-0.67	0.70
1	1	82	11	40	0.18	-0.93	-0.99	-1.19	-1.11	0.43	0.37
1	1	83	9	342	0.28	1.16	0.43	-0.52	-0.68	2.64	1.12
1	1	84	8	286	0.05	-0.72	1.11	0.50	-0.05	0.43	-0.83
1	1	85	8	33	0.1	-1.06	-0.89	-1.18	-1.02	-0.67	-0.99
1	1	86	5	282	0.23	-1.50	0.53	0.19	-0.48	0.43	-2.16
1	1	87	17	137	0.07	-0.31	0.68	-0.78	-0.76	-0.67	0.96
1	1	88	19	168	0.07	-0.08	-0.89	0.05	-0.05	-0.67	1.04
1	1	89	7	291	0.05	1.10	-0.89	0.15	1.37	-0.67	0.36
1	1	90	6	24	0.19	-0.97	-1.02	-1.07	-0.94	0.43	-1.40
1	1	91	4	434	0.59	4.07	1.49	1.29	0.30	2.64	0.07
1	1	92	19	409	0.65	0.92	0.42	1.41	1.37	2.64	-0.60
1	1	93	9	393	0.46	2.04	2.30	0.91	-0.05	-0.31	-0.34
1	1	94	8	22	0.08	-1.66	-1.27	-0.84	-0.76	-0.67	0.84
1	1	95	23	158	0.22	-1.41	0.68	-0.20	-0.70	-0.67	-1.05
1	1	96	11	330	0.22	1.55	0.68	-0.45	-0.31	0.43	-1.59
1	1	97	6	145	0.17	0.49	-0.89	-0.64	-0.76	-0.67	-0.17
1	1	98	12	121	0.15	0.21	-0.89	-0.80	-0.76	-0.67	-1.70
1	1	99	14	329	0.24	2.06	0.63	0.31	-0.25	0.43	0.99
1	1	100	16	299	0.05	1.21	-0.89	0.46	1.37	-0.67	0.86
1	1	101	5	328	0.1	-0.87	1.11	1.33	-0.05	0.43	-1.13
1	1	102	10	278	0.1	0.33	-0.93	0.45	1.37	-0.67	0.02
1	1	103	5	102	0.1	-1.05	0.68	-0.76	-0.76	-0.67	1.27
1	1	104	12	25	0.08	-1.25	-1.05	-0.78	-0.76	-0.67	1.57
1	1	105	9	385	0.25	2.05	0.34	-0.21	-0.05	2.64	1.12
1	1	106	10	231	0.18	-0.02	-0.08	0.02	-0.05	0.43	1.29
1	1	107	5	193	0.14	-0.66	-0.08	-0.33	-0.05	-0.67	-1.01
1	1	108	4	418	0.06	-0.03	0.68	3.07	1.37	0.43	-2.25
1	1	109	4	306	0.16	1.83	0.68	-0.59	-0.05	-0.67	-1.57
1	1	110	5	378	0.15	1.09	0.68	1.20	1.37	0.43	-0.11
1	1	111	2	308	0.07	-0.55	0.68	0.26	1.37	-0.67	-1.25
1	1	112	18	239	0.15	0.44	0.75	0.08	-0.05	-0.67	1.05
1	1	113	11	62	0.06	-1.14	-0.89	-0.81	-0.76	-0.67	0.73
1	1	114	5	169	0.07	-0.26	-0.89	0.47	-0.05	-0.67	1.40
1	1	115	18	415	0.11	0.74	-0.08	2.29	2.79	0.43	-0.93
1	1	116	5	97	0.13	0.23	-1.19	-1.05	-0.76	-0.67	0.77
1	1	117	24	19	0.22	-0.06	2.30	-0.89	-0.89	-0.67	1.18
1	1	118	9	184	0.17	-0.98	0.34	-0.29	-0.05	-0.67	-0.08
1	1	119	11	43	0.12	-0.82	-0.89	-1.04	-0.79	-0.67	-1.65
1	1	120	9	257	0.29	2.17	-0.62	0.10	-0.05	-0.55	0.65
1	1	121	27	155	0.18	0.15	0.68	-0.84	-0.76	-0.67	0.81
1	1	122	20	215	0.11	0.33	-0.08	-0.69	-0.05	-0.67	-1.64
1	1	123	14	348	0.24	0.61	0.74	0.37	1.37	0.43	0.25
1	1	124	13	162	0.12	0.01	-1.01	-0.67	-0.05	-0.67	-1.57
1	1	125	7	366	0.22	1.62	0.35	-0.29	1.37	-0.67	-1.65
1	1	126	9	77	0.02	-0.88	-0.89	-0.78	-0.76	-0.67	0.66
1	1	127	25	253	0.14	0.70	0.68	0.16	-0.05	-0.67	0.61
1	1	128	9	84	0.09	-0.27	-1.27	-0.81	-0.76	-0.67	0.81
1	1	129	3	398	0.04	-0.03	-0.08	2.29	1.37	0.43	-1.98
1	1	130	9	412	0.05	0.90	-0.89	2.29	2.79	0.43	-0.48
1	1	131	8	309	0.06	1.43	-0.89	0.41	1.37	-0.67	0.46
1	1	132	8	267	0.08	0.10	0.68	0.37	-0.05	0.43	1.57
1	1	133	16	252	0.22	0.94	-0.08	-0.40	-0.14	0.43	0.43
1	1	134	15	119	0.13	-0.60	-0.99	-0.75	-0.76	0.43	0.24
1	1	135	13	48	0.09	-0.66	-0.92	-1.19	-1.11	-0.67	0.82
1	1	136	9	326	0.11	1.45	-0.08	0.32	1.37	-0.67	0.38
1	1	137	11	386	0.22	1.37	0.68	-0.66	-0.18	2.64	-1.36
1	1	138	20	255	0.15	0.43	-0.89	-0.34	-0.05	2.64	0.68
1	1	139	8	161	0.14	-0.68	-0.94	-0.08	-0.05	0.43	1.41
1	1	140	10	38	0.13	-1.22	-1.19	-0.92	-0.76	0.43	0.91
1	1	141	14	180	0.12	0.09	0.68	-0.56	-0.76	-0.67	0.07
1	1	142	13	427	0.21	2.01	0.62	2.29	2.79	0.43	-0.18
1	1	143	15	354	0.13	1.63	0.68	0.39	1.37	-0.67	0.26
1	1	144	11	301	0.14	0.82	-1.03	0.15	1.37	-0.67	-0.85
1	1	145	7	205	0.13	0.24	-0.08	-0.05	-0.05	-0.67	1.57
1	1	146	10	327	0.14	0.66	0.68	0.60	1.37	-0.67	0.42
1	1	147	11	403	0.11	0.92	2.30	1.22	1.37	0.43	-0.79
1	1	148	7	127	0.08	-0.20	-0.89	-0.10	-0.76	-0.67	0.69
1	1	149	6	217	0.11	0.41	-0.89	0.26	-0.05	-0.67	-0.34
1	1	150	11	323	0.1	0.96	-0.89	0.46	1.37	0.43	0.72
1	1	151	9	208	0.16	0.16	0.68	-0.60	-0.05	-0.67	0.43
1	1	152	14	405	0.14	-0.04	0.68	2.29	1.37	0.43	-2.24
1	1	153	10	98	0.08	-0.22	-0.89	-1.14	-0.76	-0.67	0.33
1	1	154	7	47	0.05	-0.99	-0.89	-1.16	-0.76	-0.67	1.03
1	1	155	8	182	0.15	-1.00	0.68	0.08	-0.76	-0.67	-0.46
1	1	156	9	153	0.07	-0.24	-0.93	0.04	-0.05	-0.67	1.57
1	1	157	23	65	0.08	-1.23	-0.89	-0.82	-0.76	-0.67	0.27
1	1	158	4	367	0.08	3.03	-0.08	0.15	-0.05	-0.67	-1.65
1	1	159	29	421	0.15	1.04	0.68	2.29	2.79	0.43	-0.84
1	1	160	10	111	0.14	-1.33	-0.89	0.06	-0.76	-0.67	-0.65
1	1	161	13	382	0.25	3.03	0.68	0.23	-0.05	-0.42	-1.68
1	1	162	10	142	0.1	-0.54	-0.89	-0.76	-0.05	-0.67	-0.73
1	1	163	14	433	0.32	1.31	-0.10	2.29	2.79	2.64	-0.81
1	1	164	14	50	0.08	-0.88	-0.08	-1.19	-1.11	-0.67	0.91
1	1	165	23	125	0.14	-0.78	0.68	-0.84	-0.76	-0.67	0.41
1	1	166	7	67	0.09	-0.95	0.68	-1.13	-0.96	-0.67	1.03
1	1	167	12	254	0.11	-0.53	0.68	0.02	-0.05	0.43	-0.24
1	1	168	11	113	0.17	-0.63	-0.08	-0.98	-0.92	-0.67	-0.30
1	1	169	9	83	0.04	-0.71	-0.89	-0.75	-0.76	-0.67	0.76
1	1	170	10	89	0.11	-1.18	-0.93	-0.19	-0.76	-0.67	0.66
1	1	171	8	44	0.06	-1.41	-0.89	-1.13	-0.76	-0.67	0.36
1	1	172	8	310	0.08	1.13	-0.99	0.45	1.37	-0.67	-0.08
1	1	173	8	6	0.08	-1.21	-0.89	-1.28	-1.11	-0.67	-1.64
1	1	174	14	295	0.12	-0.78	-0.08	0.38	-0.76	2.64	-1.00
1	1	175	12	316	0.19	1.00	-1.02	-0.29	1.37	-0.67	-1.61
1	1	176	2	346	0.15	0.38	-0.11	2.60	-0.05	0.43	0.69
1	1	177	12	194	0.17	-0.92	0.68	-0.46	-0.76	0.43	-0.16
1	1	178	17	396	0.19	1.51	2.30	0.45	1.37	-0.09	1.34
1	1	179	15	206	0.13	-1.30	-0.08	0.26	-0.76	0.43	-0.90
1	1	180	4	322	0.13	1.35	-0.89	-0.06	1.37	0.43	0.52
1	1	181	31	225	0.12	-0.25	0.68	0.14	-0.05	-0.67	0.21
1	1	182	5	185	0.14	0.46	-0.57	-0.29	-0.76	0.43	1.27
1	1	183	12	103	0.15	-0.68	-0.08	-0.63	-0.76	-0.67	1.39
1	1	184	2	151	0.06	-0.29	-0.89	0.06	-0.76	-0.67	-0.87
1	1	185	11	232	0.12	-0.39	0.68	0.22	-0.05	-0.67	-0.20
1	1	186	9	313	0.29	0.41	-0.89	1.32	1.37	-0.67	0.31
1	1	187	17	372	0.15	0.23	0.70	1.21	1.37	0.43	-0.74
1	1	188	9	407	0.09	0.41	2.30	1.70	1.37	0.43	-1.08
1	1	189	14	68	0.36	-0.83	0.19	-1.16	-1.09	0.43	0.95
1	1	190	9	37	0.08	-1.53	-1.27	-0.83	-0.76	-0.67	0.41
1	1	191	8	28	0.13	-1.33	-1.22	-1.10	-0.85	-0.67	-0.62
1	1	192	8	71	0.24	-1.65	-0.89	-0.19	-0.67	-0.67	0.43
1	1	193	9	7	0.2	-0.89	-0.89	-0.36	-0.84	2.64	0.50
1	1	194	16	53	0.05	-1.15	-0.89	-0.82	-0.76	-0.67	1.06
1	1	195	9	29	0.07	-0.60	-1.27	-1.08	-0.76	-0.67	-1.66
1	1	196	14	377	0.21	2.10	0.68	0.25	1.37	0.43	0.77
1	1	197	10	190	0.2	-0.45	-0.73	-0.74	-0.05	0.43	-0.77
1	1	198	11	15	0.13	-1.32	-1.03	-1.19	-1.11	0.43	0.88
1	1	199	13	344	0.23	0.11	0.68	0.14	-0.05	2.64	-0.39
1	1	200	12	128	0.1	0.05	-0.08	-0.81	-0.76	-0.67	0.90
1	1	201	17	36	0.06	-1.25	-1.27	-1.13	-0.76	-0.67	0.40
1	1	202	12	172	0.1	-0.33	-0.89	-0.44	-0.05	0.43	0.94
1	1	203	8	293	0.04	-0.74	1.11	0.50	-0.05	0.43	-1.22
1	1	204	4	165	0.06	0.02	-0.89	-0.67	-0.76	0.43	-1.69
1	1	205	13	187	0.13	0.43	-0.89	-0.71	-0.05	-0.67	-1.63
1	1	206	4	210	0.13	0.00	2.30	-0.78	-0.76	0.43	0.94
1	1	207	12	70	0.05	-0.72	-1.27	-0.81	-0.76	-0.67	0.69
1	1	208	13	156	0.14	0.14	-0.08	-0.21	-0.76	-0.67	0.93
1	1	209	10	317	0.17	0.87	2.30	0.21	-0.05	-0.67	1.31
1	1	210	19	197	0.23	-0.12	0.68	-0.79	-0.83	0.43	0.37
1	1	211	13	201	0.15	0.33	-0.98	-0.29	-0.05	-0.67	-0.85
1	1	212	12	94	0.15	-1.25	-0.08	-0.80	-0.76	-0.67	0.38
1	1	213	26	85	0.09	-0.35	-0.89	-0.98	-0.76	-0.67	-1.63
1	1	214	13	324	0.11	0.51	2.30	0.21	-0.05	0.43	0.66
1	1	215	9	95	0.08	-0.54	0.68	-1.18	-1.07	-0.67	1.01
1	1	216	23	126	0.14	-0.21	-0.08	-1.01	-0.77	-0.67	-1.64
1	1	217	10	256	0.2	0.88	0.68	-0.39	-0.05	-0.67	-0.79
1	1	218	19	356	0.34	-0.96	0.52	1.97	-0.20	-0.67	-2.18
1	1	219	14	147	0.11	0.17	-0.08	-0.77	-0.76	-0.67	0.27
1	1	220	14	240	0.2	0.44	0.86	0.03	-0.10	-0.67	1.57
1	1	221	13	191	0.18	0.14	-0.08	-0.75	-0.49	0.43	0.67
1	1	222	7	380	0.05	0.04	-0.08	1.70	1.37	0.43	-1.23
1	1	223	18	88	0.05	-0.46	-0.89	-0.77	-0.76	-0.67	1.00
1	1	224	12	417	0.1	1.69	0.68	2.29	2.79	-0.67	0.38
1	1	225	18	413	0.27	2.56	0.68	-0.04	1.37	2.64	0.59
1	1	226	9	401	0.08	0.81	-0.89	1.20	1.37	2.64	-0.61
1	1	227	8	49	0.08	-1.28	-0.89	-0.29	-0.76	-0.67	1.41
1	1	228	8	12	0.18	-1.32	-1.03	-0.93	-0.85	0.43	1.57
1	1	229	6	237	0.19	0.49	0.17	-0.73	-0.76	0.43	-1.52
1	1	230	16	266	0.12	-0.03	0.68	0.49	-0.05	0.43	0.54
1	1	231	5	82	0.12	-1.25	-1.12	-0.29	-0.05	-0.67	1.27
1	1	232	24	110	0.12	-0.42	-1.00	-0.71	-0.76	-0.67	-0.07
1	1	233	14	270	0.15	0.34	-1.11	0.45	1.37	-0.67	1.39
1	1	234	4	200	0.07	-0.30	-0.89	0.26	-0.05	0.43	1.57
1	1	235	16	263	0.29	0.70	0.35	-0.52	-0.18	0.43	-0.62
1	1	236	12	280	0.21	1.35	0.68	-0.41	-0.23	0.43	0.90
1	1	237	8	281	0.07	-0.96	0.68	0.48	-0.05	0.43	-1.23
1	1	238	7	287	0.13	0.20	0.68	0.45	-0.05	0.43	-0.55
1	1	239	16	116	0.18	-1.23	-0.08	-0.57	-0.76	-0.67	-0.37
1	1	240	31	321	0.42	-0.50	2.30	0.40	-0.12	-0.03	-1.00
1	1	241	16	420	0.13	1.51	-0.08	2.29	2.79	0.43	-0.49
1	1	242	8	199	0.12	0.05	-1.03	0.20	-0.05	-0.67	-0.07
1	1	243	8	314	0.07	0.99	-0.08	0.45	1.37	-0.67	0.72
1	1	244	7	289	0.06	-0.20	0.68	1.23	-0.05	0.43	0.35
1	1	245	15	216	0.16	-0.16	0.68	0.03	-0.05	-0.67	0.76
1	1	246	14	273	0.16	0.31	0.63	0.14	-0.05	0.43	0.07
1	1	247	20	132	0.18	-0.76	-0.08	-0.14	-0.72	-0.67	0.74
1	1	248	5	369	0.08	-0.74	0.68	1.70	-0.05	0.43	-2.35
1	1	249	11	432	0.33	0.40	1.35	2.13	1.37	2.64	-2.28
1	1	250	6	341	0.22	0.46	0.62	0.21	1.37	0.43	1.36
1	1	251	24	404	0.12	1.30	-0.89	2.29	2.79	-0.67	0.33
1	1	252	9	63	0.05	-1.23	-0.89	-0.75	-0.76	-0.67	0.65
1	1	253	11	226	0.16	0.32	-0.96	-0.44	-0.05	0.43	-0.89
1	1	254	11	133	0.09	-0.43	-0.89	-0.75	-0.05	-0.67	0.33
1	1	255	19	376	0.16	0.60	0.68	1.17	1.37	0.43	-0.70
1	1	256	8	80	0.06	-0.23	-0.89	-1.15	-0.76	-0.67	0.91
1	1	257	13	164	0.27	-0.58	0.15	-0.89	-0.87	0.43	-0.58
1	1	258	7	78	0.07	-0.82	-0.89	-0.29	-0.76	-0.67	1.33
1	1	259	5	422	0.05	1.83	-0.89	2.29	2.79	0.43	-0.23
1	1	260	10	23	0.11	-1.45	-1.23	-1.16	-0.83	-0.67	-0.10
1	1	261	8	60	0.05	-0.57	-1.27	-1.14	-0.76	-0.67	0.44
1	1	262	12	93	0.12	-0.88	-0.92	-0.78	-0.76	-0.67	-0.41
1	1	263	20	279	0.24	0.33	2.30	0.14	-0.19	-0.67	0.31
1	1	264	15	75	0.05	-0.67	-0.89	-1.10	-0.76	-0.67	0.39
1	1	265	15	351	0.04	0.27	-0.89	1.20	1.37	0.43	-0.45
1	1	266	7	408	0.25	2.71	-0.89	-0.27	1.37	2.64	0.06
1	1	267	10	57	0.07	-0.55	-1.27	-1.15	-0.76	-0.67	0.82
1	1	268	13	387	0.24	0.11	0.68	1.48	-0.05	2.64	-0.61
1	1	269	6	436	0.27	1.23	2.30	1.91	2.08	2.64	-1.04
1	1	270	11	202	0.09	0.20	-0.89	0.47	-0.05	-0.67	0.68
1	1	271	12	402	0.47	1.54	0.81	2.42	1.37	0.34	0.54
1	1	272	12	152	0.15	-0.05	-0.08	-0.83	-0.76	-0.67	-0.87
1	1	273	9	21	0.09	-1.48	-0.89	-1.15	-0.96	-0.67	0.95
1	1	274	11	69	0.05	-0.74	-0.89	-0.84	-0.76	-0.67	1.11
1	1	275	14	249	0.24	-0.06	-0.77	-0.01	-0.15	2.64	0.62
1	1	276	4	318	0.08	-1.02	0.68	1.35	-0.05	0.43	-1.21
1	1	277	19	247	0.15	0.09	0.68	-0.36	-0.05	0.43	0.65
1	1	278	14	297	0.17	1.23	0.68	0.23	-0.05	0.43	0.58
1	1	279	8	338	0.08	0.88	0.68	0.45	1.37	-0.67	1.41
1	1	280	13	171	0.1	-0.38	-0.92	0.00	-0.05	-0.67	0.06
1	1	281	14	371	0.28	-0.93	2.30	0.46	-0.20	-0.12	-2.31
1	1	282	24	173	0.33	-0.28	0.73	-0.75	-0.82	0.43	0.97
1	1	283	18	355	0.14	1.38	0.68	-0.21	1.37	0.43	0.42
1	1	284	4	345	0.11	0.83	-0.49	-0.66	1.37	0.43	-1.59
1	1	285	11	56	0.05	-0.83	-1.27	-0.78	-0.76	-0.67	1.01
1	1	286	7	370	0.19	1.55	0.68	-0.38	1.37	0.43	-1.02
1	1	287	10	64	0.06	-0.48	-0.89	-1.19	-1.11	-0.67	0.41
1	1	288	9	167	0.15	-0.36	-0.89	-0.71	-0.05	0.43	0.29
1	1	289	6	124	0.15	-1.28	-1.02	-0.29	-0.05	-0.67	-0.30
1	1	290	14	272	0.11	-0.70	0.68	0.43	-0.05	0.43	-0.78
1	1	291	25	188	0.09	0.21	-0.89	0.05	-0.05	-0.67	0.52
1	1	292	23	435	0.3	1.05	2.30	2.59	2.79	0.43	-1.56
1	1	293	8	8	0.08	-1.66	-1.27	-1.18	-0.94	-0.67	1.07
1	1	294	14	431	0.2	2.14	2.30	2.29	2.79	-0.60	0.40
1	1	295	3	96	0.08	-0.16	-0.89	-0.58	-0.76	-0.67	1.57
1	1	296	9	87	0.06	-0.46	-1.27	-0.78	-0.76	-0.67	0.39
1	1	297	6	414	0.04	0.90	-0.89	2.29	2.79	0.43	-0.85
1	1	298	10	230	0.18	0.31	-0.89	0.32	-0.12	0.43	0.71
1	1	299	13	58	0.11	-0.84	-0.95	-1.16	-0.98	-0.67	-0.08
1	1	300	11	4	0.31	0.63	-1.03	-0.85	-0.76	2.64	0.96
1	1	301	24	277	0.18	0.59	0.68	0.21	-0.08	0.43	0.76
1	1	302	13	130	0.1	-0.85	-0.08	-0.61	-0.76	-0.67	-0.80
1	1	303	6	131	0.17	-0.53	0.68	-0.61	-0.52	-0.67	1.57
1	1	304	10	55	0.09	-1.09	-1.27	-0.81	-0.76	-0.67	0.53
1	1	305	21	269	0.11	-1.16	0.68	0.48	-0.05	-0.67	-2.25
1	1	306	21	91	0.1	-0.45	-0.08	-1.19	-1.11	-0.67	0.57
1	1	307	9	104	0.08	-0.46	-0.98	-0.87	-0.76	-0.67	-1.12
1	1	308	19	32	0.07	-1.02	-0.89	-1.19	-1.11	-0.67	0.97
1	1	309	4	268	0.13	0.22	-0.89	0.07	-0.05	2.64	1.46
1	1	310	4	59	0.03	-0.93	-0.89	-1.14	-0.76	-0.67	0.69
1	1	311	4	2	0.12	-0.52	-0.89	-0.66	-0.76	2.64	1.22
1	1	312	8	3	0.15	-1.66	-1.22	-1.08	-0.89	-0.67	1.57
1	1	313	8	141	0.14	-0.61	-0.89	-0.21	-0.76	0.43	0.62
1	1	314	14	183	0.08	-0.35	-0.89	0.45	-0.05	-0.67	0.46
1	1	315	6	192	0.15	0.62	-0.89	-0.58	-0.76	0.43	-0.26
1	1	316	6	196	0.17	-0.81	-0.76	-0.07	-0.05	0.43	0.02
1	1	317	15	92	0.04	-0.75	-0.89	-0.75	-0.76	-0.67	0.36
1	1	318	6	214	0.21	1.06	0.17	-0.90	-0.64	-0.67	-1.66
1	1	319	9	389	0.05	0.14	0.68	1.70	1.37	0.43	-1.23
1	1	320	8	381	0.26	-0.31	2.30	1.86	-0.05	-0.12	-0.99
1	1	321	2	438	0.38	2.15	1.49	6.57	1.37	0.43	-0.28
1	1	322	18	224	0.09	-0.62	0.68	0.03	-0.05	-0.67	-0.65
1	1	323	7	361	0.05	0.63	-0.89	1.20	1.37	0.43	-0.72
1	1	324	8	352	0.12	0.50	-0.89	1.20	1.37	0.43	-0.08
1	1	325	8	234	0.1	-0.43	0.68	-0.12	-0.05	0.43	1.46
1	1	326	4	17	0.04	-1.04	-0.08	-1.19	-1.11	-0.67	1.57
1	1	327	3	5	0.04	-2.07	-0.89	-1.18	-1.11	-0.67	0.90
1	1	328	9	304	0.1	-0.22	0.68	1.23	-0.05	0.43	-0.46
1	1	329	9	350	0.09	-1.17	2.30	0.45	-0.76	-0.67	-2.26
1	1	330	12	294	0.1	0.98	-0.92	0.45	1.37	-0.67	0.42
1	1	331	9	307	0.16	0.42	-1.14	0.45	1.37	0.43	1.02
1	1	332	9	439	0.49	1.48	1.28	4.62	3.89	0.92	-2.46
1	1	333	10	148	0.16	-1.03	-0.57	-0.22	-0.76	0.43	-0.12
1	1	334	6	424	0.25	1.52	2.30	0.32	1.37	2.64	0.77
1	1	335	19	52	0.13	-1.61	-0.91	-0.75	-0.78	-0.67	-0.31
1	1	336	12	31	0.05	-1.28	-0.89	-1.19	-1.11	-0.67	0.60
1	1	337	19	123	0.2	-1.52	-0.08	-0.20	-0.76	-0.67	-0.94
1	1	338	11	218	0.17	-1.37	0.54	0.45	-0.76	-0.67	-2.18
1	1	339	18	262	0.2	0.88	0.68	-0.51	-0.17	0.43	0.51
1	1	340	3	325	0.07	-1.02	0.68	0.58	-0.05	0.43	-2.46
1	1	341	7	212	0.1	-1.39	0.68	-0.26	-0.76	0.43	-1.09
1	1	342	12	41	0.1	-1.75	-0.92	-0.62	-0.76	-0.67	-0.88
1	1	343	7	290	0.08	0.87	-1.27	0.46	1.37	-0.67	0.86
1	1	344	8	139	0.12	-1.50	-0.89	0.01	-0.76	0.43	-0.63
1	1	345	14	360	0.27	2.68	0.68	0.44	-0.25	0.43	0.22
1	1	346	6	181	0.05	-0.41	-0.89	-0.29	-0.05	0.43	0.55
1	1	347	13	353	0.11	1.54	0.68	0.47	1.37	-0.67	0.87
1	1	348	8	349	0.13	1.34	0.30	0.15	1.37	-0.67	-0.87
1	1	349	6	61	0.04	-0.65	-0.89	-1.14	-0.76	-0.67	0.94
1	1	350	21	336	0.25	0.45	0.68	0.04	-0.12	2.64	0.86
1	1	351	12	235	0.26	-0.42	0.36	-0.39	-0.76	2.64	0.12
1	1	352	10	115	0.16	-1.06	-1.08	-0.38	-0.05	-0.67	0.60
1	1	353	5	339	0.15	-0.28	0.22	2.29	-0.05	0.43	-0.55
1	1	354	16	397	0.34	-0.72	2.30	1.86	-0.14	-0.26	-2.30
1	1	355	4	236	0.15	-0.45	0.68	-0.08	-0.05	-0.67	-1.43
1	1	356	11	160	0.1	-0.31	-1.27	0.12	-0.05	-0.67	0.58
1	1	357	15	10	0.12	-1.28	-1.27	-1.05	-0.83	-0.67	-1.64
1	1	358	4	392	0.2	0.97	2.30	0.54	1.37	0.43	0.28
1	1	359	10	144	0.11	0.46	-0.89	-0.29	-0.76	-0.67	0.75
1	1	360	7	213	0.07	-0.32	-0.89	0.48	-0.05	0.43	0.59
1	1	361	9	394	0.28	2.75	0.68	-0.09	-0.29	2.64	0.44
1	1	362	7	340	0.2	0.97	-1.00	0.03	1.37	0.43	-0.83
1	1	363	21	251	0.24	1.15	0.68	-0.21	-0.12	-0.67	0.79
1	1	364	11	118	0.1	0.14	-0.89	-0.84	-0.76	-0.67	0.42
1	1	365	12	99	0.04	-0.35	-0.89	-0.79	-0.76	-0.67	0.76
1	1	366	8	388	0.15	1.15	2.30	0.73	1.37	-0.67	0.52
1	1	367	8	260	0.14	0.41	0.68	0.40	-0.05	-0.67	-0.36
1	1	368	12	117	0.09	-0.93	-0.89	-0.04	-0.76	-0.67	0.01
1	1	369	12	303	0.05	-0.52	0.68	1.23	-0.05	0.43	-0.83
1	1	370	7	395	0.21	1.06	2.30	0.16	-0.05	2.64	0.75
1	1	371	17	81	0.13	-1.49	-0.91	-0.30	-0.76	-0.67	-0.20
1	1	372	10	209	0.28	0.96	0.60	-0.64	-0.76	-0.67	-0.04
1	1	373	17	66	0.08	-1.33	-0.89	-0.81	-0.76	-0.67	-0.51
1	1	374	14	136	0.12	-0.28	-0.92	-0.50	-0.05	-0.67	1.05
1	1	375	20	198	0.09	-0.42	-0.89	0.45	-0.05	-0.67	-0.41
1	1	376	16	26	0.08	-1.40	-1.27	-1.15	-0.76	-0.67	0.81
1	1	377	7	343	0.22	0.87	-0.89	-0.65	-0.35	2.64	-1.45
1	1	378	10	39	0.06	-1.04	-1.27	-1.11	-0.76	-0.67	0.91
1	1	379	8	229	0.09	0.17	0.68	-0.63	-0.05	-0.67	-0.85
1	1	380	15	175	0.14	0.41	-0.89	-0.46	-0.05	-0.67	0.41
1	1	381	13	35	0.07	-1.28	-1.27	-0.82	-0.76	-0.67	1.03
1	1	382	14	220	0.09	-0.81	-0.08	0.45	-0.05	-0.67	-0.96
1	1	383	11	283	0.12	0.38	2.30	-0.05	-0.05	-0.67	1.46
1	1	384	10	134	0.12	-0.09	1.02	-0.78	-0.76	-0.67	1.36
1	1	385	14	416	0.08	1.33	-0.89	2.29	2.79	0.43	-0.30
1	1	386	15	76	0.18	-1.35	-0.94	-0.63	-0.81	0.43	0.43
1	1	387	23	157	0.08	-0.37	-0.89	-0.04	-0.05	-0.67	0.67
1	1	388	4	391	0.26	1.95	0.49	0.42	-0.05	2.64	0.27
1	1	389	6	105	0.08	-0.68	0.68	-1.25	-1.11	-0.67	-1.44
1	1	390	8	315	0.16	0.60	-1.08	0.37	1.37	0.43	0.25
1	1	391	14	72	0.04	-0.78	-0.89	-0.76	-0.76	-0.67	0.96
1	1	392	8	259	0.15	0.35	0.79	-0.12	-0.05	0.43	1.28
1	1	393	18	222	0.1	-0.38	-0.08	0.45	-0.05	-0.67	-0.53
1	1	394	11	333	0.06	1.49	-0.08	0.46	1.37	-0.67	0.89
1	1	395	15	276	0.1	-0.28	0.68	0.32	-0.05	0.43	-0.74
1	1	396	9	16	0.11	-1.53	-1.27	-1.19	-1.03	-0.67	0.53
1	1	397	9	364	0.08	0.27	-0.08	1.20	1.37	0.43	-0.75
1	1	398	10	211	0.14	0.00	-1.00	-0.05	-0.05	0.43	0.18
1	1	399	7	384	0.25	0.30	0.74	1.76	1.37	0.43	-0.80
1	1	400	6	177	0.14	1.15	-0.08	-0.61	-0.76	-0.67	0.67
1	1	401	19	203	0.11	-0.13	-1.01	0.05	-0.05	0.43	0.76
1	1	402	8	312	0.09	0.73	-0.08	0.45	1.37	-0.67	1.41
1	1	403	9	258	0.2	-0.18	-0.89	2.29	-0.05	-0.67	-0.38
1	1	404	11	244	0.16	-1.09	0.68	0.39	-0.76	0.43	-0.94
1	1	405	11	319	0.21	0.03	0.54	2.29	-0.05	-0.67	-0.36
1	1	406	15	159	0.08	-0.10	-1.27	0.08	-0.05	-0.67	0.91
1	1	407	33	221	0.14	0.64	-0.08	-0.05	-0.05	-0.67	0.68
1	1	408	11	112	0.09	-0.50	0.68	-1.18	-1.08	-0.67	0.48
1	1	409	17	399	0.31	1.42	0.73	0.26	1.37	2.64	0.75
1	1	410	5	20	0.08	-1.28	-1.27	-1.05	-0.90	-0.67	-1.12
1	1	411	6	34	0.08	-0.85	-0.08	-1.25	-1.11	-0.67	-1.44
1	1	412	6	426	0.2	3.36	0.68	-0.27	1.37	2.64	-0.22
1	1	413	12	285	0.1	0.72	-1.24	0.30	1.37	-0.67	0.32
1	1	414	8	363	0.08	1.28	1.11	0.45	1.37	-0.67	1.36
1	1	415	8	437	0.27	1.02	1.00	3.07	2.79	2.64	-2.30
1	1	416	7	284	0.19	0.20	-0.66	-0.74	-0.05	2.64	-0.71
1	1	417	9	264	0.06	0.29	-0.89	0.45	1.37	-0.67	0.66
1	1	418	21	238	0.21	0.24	-0.08	-0.09	-0.05	0.43	0.69
1	1	419	3	296	0.02	-0.47	0.68	0.03	-0.05	0.43	-2.34
1	1	420	10	100	0.16	-0.44	-0.97	-0.87	-0.76	0.43	1.21
1	1	421	11	174	0.15	-0.61	0.68	-0.02	-0.76	-0.67	0.17
1	1	422	9	311	0.25	1.52	-0.53	-0.55	-0.76	2.64	0.36
1	1	423	6	135	0.09	-0.58	-1.27	0.12	-0.05	-0.67	1.29
1	1	424	5	368	0.15	2.37	0.68	0.36	1.37	-0.67	0.68
1	1	425	9	373	0.12	1.65	0.68	0.39	1.37	0.43	-0.01
1	1	426	10	228	0.13	0.42	-0.08	-0.33	-0.05	-0.67	-0.92
1	1	427	20	86	0.22	-1.23	-0.93	-0.85	-0.83	0.43	-0.46
1	1	428	7	106	0.06	-0.07	-0.89	-0.76	-0.76	-0.67	0.98
1	1	429	8	138	0.12	-0.45	-0.99	-0.78	-0.76	0.43	-0.77
1	1	430	8	30	0.12	-0.51	1.05	-1.19	-1.11	-0.67	1.36
1	1	431	19	357	0.16	1.03	0.68	-0.27	-0.05	2.64	0.61
1	1	432	20	406	0.38	0.02	2.30	0.99	-0.05	2.64	-1.12
1	1	433	10	302	0.26	1.83	0.53	-0.09	-0.33	0.43	0.24
1	1	434	5	73	0.04	-0.72	-0.89	-0.95	-0.76	-0.67	0.82
1	1	435	1	440	0	5.51	0.68	3.07	4.20	2.64	0.50
1	1	436	14	300	0.29	2.04	0.68	0.38	-0.15	-0.67	0.69
1	1	437	19	74	0.1	-1.10	-0.89	-0.81	-0.76	-0.67	-0.90
1	1	438	7	347	0.13	1.21	-0.08	0.41	1.37	0.43	0.59
1	1	439	31	374	0.28	-0.27	0.87	0.49	-0.05	2.64	-1.24
1	1	440	17	233	0.2	-0.48	0.68	-0.10	-0.13	0.43	0.60

Now let us understand what each column in the above table means:

Segment.Level - Level of the cell. In this case, we have performed Vector Quantization for depth 1. Hence Segment Level is 1.
Segment.Parent - Parent segment of the cell.
Segment.Child (Cell.Number) - The children of a particular cell. In this case, it is the total number of cells at which we achieved the defined compression percentage.
n - No of points in each cell.
Cell.ID - Cell_ID’s are generated for the multivariate data using 1-D Sammon’s Projection algorithm.
Quant.Error - Quantization Error for each cell.

All the columns after this will contain centroids for each cell. They can also be called a codebook, which represents a collection of all centroids or codewords.

Now, let’s check the compression summary for HVT (map A). The table below shows no of cells, no of cells having quantization error below threshold and percentage of cells having quantization error below threshold for each level.

mapA_compression_summary <- map_A[[3]]$compression_summary %>%  dplyr::mutate_if(is.numeric, funs(round(.,4)))
compressionSummaryTable(mapA_compression_summary)

segmentLevel	noOfCells	noOfCellsBelowQuantizationError	percentOfCellsBelowQuantizationErrorThreshold	parameters
1	440	355	0.81	n_cells: 440 quant.err: 0.2 distance_metric: L1_Norm error_metric: max quant_method: kmeans

As it can be seen from the table above, 81% of the cells have hit the quantization threshold error.Since we are successfully able to attain the desired compression percentage, so we will not further subdivide the cells

Now let’s try to understand plotHVT function. The parameters have been explained in detail below:

plotHVT(hvt.results, line.width, color.vec, pch1 = 21, centroid.size = 3, title = NULL, maxDepth = 1)

hvt.results - A list containing the output of the HVT function which has the details of the tessellations to be plotted.
line.width - A vector indicating the line widths of the tessellation boundaries for each layer.
color.vec - A vector indicating the colors of the tessellations boundaries at each layer.
pch1 - Symbol type of the centroids of the tessellations (parent levels). Refer points (default = 21)
centroid.size - Size of centroids of first level tessellations (default = 3).
title - Set a title for the plot (default = NULL).

Let’s plot the Voronoi tessellation for layer 1 (map A).

muHVT::plotHVT(map_A,
        line.width = c(0.4), 
        color.vec = c("#141B41"),
        centroid.size = 0.01,
        maxDepth = 1)

Figure 2: The Voronoi Tessellation for layer 1 (map A) shown for the 440 cells in the dataset ’computers’

Heat Maps

We will now overlay all the features as heatmap over the Voronoi Tessellation plot for better visualization and identification of patterns, trends, and variations in the data.

Let’s have a look at the function hvtHmap that we will use to overlay features as heatmap.

hvtHmap(hvt.results, dataset, child.level, hmap.cols, color.vec ,line.width, palette.color = 6)

hvt.results - A list of results obtained from the HVT function (map_A).
dataset - A dataframe containing the variables to overlay as a heatmap. The user can pass an external dataset or the dataset that was used to perform hierarchical vector quantization. The dataset should have the same number of points as the dataset used to perform hierarchical Vector Quantization in the HVT function.
child.level - A number indicating the level for which the heat map is to be plotted.
hmap.cols - The column number of column name from the dataset indicating the variables for which the heat map is to be plotted. To plot the quantization error as heatmap, pass 'quant_error'. Similarly to plot the no of points in each cell as heatmap, pass 'no_of_points' as a parameter.
color.vec - A color vector such that length(color.vec) = child.level (default = NULL).
line.width - A line width vector such that length(line.width) = child.level (default = NULL).
palette.color - A number indicating the heat map color palette. 1 - rainbow, 2 - heat.colors, 3 - terrain.colors, 4 - topo.colors, 5 - cm.colors, 6 - BlCyGrYlRd (Blue,Cyan,Green,Yellow,Red) color (default = 6).
show.points - A boolean indicating whether the centroids should be plotted on the tessellations (default = FALSE).

Now let’s plot the Voronoi Tessellation with the heatmap overlaid for all the features in the torus data for better visualization and interpretation of data patterns and distributions.

The heatmaps displayed below provides a visual representation of the spatial characteristics of the computers data, allowing us to observe patterns and trends in the distribution of each of the features (n,price,speed,hd,ram,screen,ads). The sheer green shades highlight regions with higher values in each of the heatmaps, while the indigo shades indicate areas with the lowest values in each of the heatmaps. By analyzing these heatmaps, we can gain insights into the variations and relationships between each of these features within the computers data.


  hvtHmap(
  map_A,
  trainComputers,
  child.level = 1,
  hmap.cols = "n",
  line.width = c(0.2),
  color.vec = c("#141B41"),
  palette.color = 6,
  centroid.size = 0.1,
  show.points = T,
  quant.error.hmap = 0.2,
  n_cells.hmap = 440,
)

Figure 3: The Voronoi Tessellation with the heat map overlaid for No. of entities in each cell


  hvtHmap(
  map_A,
  trainComputers,
  child.level = 1,
  hmap.cols = "price",
  line.width = c(0.2),
  color.vec = c("#141B41"),
  palette.color = 6,
  centroid.size = 0.1,
  show.points = T,
  quant.error.hmap = 0.2,
  n_cells.hmap = 440,
)

Figure 4: The Voronoi Tessellation with the heat map overlaid for variable ’price’ in the ’computers’ dataset


  hvtHmap(
  map_A,
  trainComputers,
  child.level = 1,
  hmap.cols = "speed",
  line.width = c(0.2),
  color.vec = c("#141B41"),
  palette.color = 6,
  centroid.size = 0.1,
  show.points = T,
  quant.error.hmap = 0.2,
  n_cells.hmap = 440,
)

Figure 5: The Voronoi Tessellation with the heat map overlaid for variable ’speed’ in the ’computers’ dataset


  hvtHmap(
  map_A,
  trainComputers,
  child.level = 1,
  hmap.cols = "hd",
  line.width = c(0.2),
  color.vec = c("#141B41"),
  palette.color = 6,
  centroid.size = 0.1,
  show.points = T,
  quant.error.hmap = 0.2,
  n_cells.hmap = 440,
)

Figure 6: The Voronoi Tessellation with the heat map overlaid for variable ’hd’ in the ’computers’ dataset


  hvtHmap(
  map_A,
  trainComputers,
  child.level = 1,
  hmap.cols = "ram",
  line.width = c(0.2),
  color.vec = c("#141B41"),
  palette.color = 6,
  centroid.size = 0.1,
  show.points = T,
  quant.error.hmap = 0.2,
  n_cells.hmap = 440,
)

Figure 7: The Voronoi Tessellation with the heat map overlaid for variable ’ram’ in the ’computers’ dataset


  hvtHmap(
  map_A,
  trainComputers,
  child.level = 1,
  hmap.cols = "screen",
  line.width = c(0.2),
  color.vec = c("#141B41"),
  palette.color = 6,
  centroid.size = 0.1,
  show.points = T,
  quant.error.hmap = 0.2,
  n_cells.hmap = 440,
)

Figure 8: The Voronoi Tessellation with the heat map overlaid for variable ’screen’ in the ’computers’ dataset


  hvtHmap(
  map_A,
  trainComputers,
  child.level = 1,
  hmap.cols = "ads",
  line.width = c(0.2),
  color.vec = c("#141B41"),
  palette.color = 6,
  centroid.size = 0.1,
  show.points = T,
  quant.error.hmap = 0.2,
  n_cells.hmap = 440,
)

Figure 9: The Voronoi Tessellation with the heat map overlaid for variable ’ads’ in the ’computers’ dataset

4 Map B : Compressed Novelty Map

Let us try to visualize the Map B from the flow diagram below.

Figure 10: Flow map with highlighted bounding box in red around map B

In this section, we will manually figure out the novelty cells from the plotted map A and store it in identified_Novelty_cells variable.

Note: For manual selecting the novelty cells from map A, one can enhance its interactivity by adding plotly elements to the code. This will transform map A into an interactive plot, allowing users to actively engage with the data. By hovering over the centroids of the cells, a tag containing segment child information will be displayed. Users can explore the map by hovering over different cells and selectively choose the novelty cells they wish to consider. Added an image for reference.

Figure 11: Manually selecting novelty cells

The removeNovelty function removes the identified novelty cell(s) from the dataset and stores those records separately.

It takes input as the cell number (Segment.Child) of the manually identified novelty cell(s) from the above table and the compressed HVT map (map A). It returns a list of two items: dataset with novelty records, and a subset of the dataset without the novelty records.

identified_Novelty_cells <<- c(73,321,332,338,435)   #73,321,332,338,435
output_list <- removeNovelty(identified_Novelty_cells, map_A)

[1] “The following cell(s) have been removed as novelties from the dataset: 73 321 332 338 435”

data_with_novelty <- output_list[[1]]
dataset_without_novelty <- output_list[[2]]

Let’s have a look at the data with novelties(containing 24 records). For the sake of brevity, we will only show the first 10 rows.

novelty_data <- data_with_novelty
novelty_data$Row.No <- row.names(novelty_data)
novelty_data <- novelty_data %>% dplyr::select("Row.No","Cell.ID","Cell.Number","price","speed","hd","ram","screen","ads")
colnames(novelty_data) <- c("Row.No","Cell.ID","Segment.Child","price","speed","hd","ram","screen","ads")
novelty_data %>% head(100) %>% 
  as.data.frame() %>%
  Table(scroll = T, limit = 20)

Row.No	Cell.ID	Segment.Child	price	speed	hd	ram	screen	ads
1	429	73	3.0762240	0.6794579	0.0421969	4.2031619	0.4307274	0.7120258
2	438	321	2.6449847	0.6794579	6.5710368	1.3676416	0.4307274	0.6851382
3	438	321	1.6578103	2.2969425	6.5710368	1.3676416	0.4307274	-1.2507722
4	439	332	0.9130997	0.6794579	4.6232922	2.7854017	0.4307274	-2.4607161
5	439	332	1.8569770	1.1076156	4.6232922	4.2031619	2.6404120	-2.4607161
6	439	332	1.5192595	2.2969425	4.6232922	4.2031619	0.4307274	-2.4607161
7	439	332	1.4482522	1.1076156	4.6232922	4.2031619	0.4307274	-2.4607161
8	439	332	1.8569770	1.1076156	4.6232922	4.2031619	2.6404120	-2.4607161
9	439	332	1.1555636	2.2969425	4.6232922	2.7854017	0.4307274	-2.4607161
10	439	332	1.7773103	1.1076156	4.6232922	4.2031619	0.4307274	-2.4607161
11	439	332	1.3460710	0.6794579	4.6232922	4.2031619	0.4307274	-2.4607161
12	439	332	1.4482522	1.1076156	4.6232922	4.2031619	0.4307274	-2.4607161
13	218	338	-1.4959522	0.6794579	0.4473277	-0.7589986	-0.6741149	-2.2993903
14	218	338	-1.5115391	0.6794579	0.4473277	-0.7589986	-0.6741149	-1.9767386
15	218	338	-1.1668940	0.6794579	0.4473277	-0.7589986	-0.6741149	-2.2859465
16	218	338	-1.4959522	0.6794579	0.4473277	-0.7589986	-0.6741149	-2.4472723
17	218	338	-1.5981334	0.6794579	0.4473277	-0.7589986	-0.6741149	-2.2859465
18	218	338	-1.1668940	0.6794579	0.4473277	-0.7589986	-0.6741149	-2.2993903
19	218	338	-1.1668940	0.6794579	0.4473277	-0.7589986	-0.6741149	-2.4472723
20	218	338	-1.3227637	0.6794579	0.4473277	-0.7589986	-0.6741149	-1.9767386

4.1 Voronoi Tessellation with highlighted novelty cell

The plotCells function is used to plot the Voronoi tessellation using the compressed HVT map (map A) and highlights the identified novelty cell(s) in red on the map.

plotCells(identified_Novelty_cells, map_A,line.width = c(0.4),centroid.size = 0.01)

Figure 12: The Voronoi Tessellation constructed using the compressed HVT map (map A) with the novelty cell(s) highlighted in red

We pass the dataframe with novelty records to HVT function along with other model parameters mentioned below to generate map B (layer2)

Model Parameters

Number of Cells at each Level = 12
Maximum Depth = 1
Quantization Error Threshold = 0.2
Error Metric = Max
Distance Metric = Manhattan

colnames(data_with_novelty) <- c("Cell.ID","Segment.Child","price","speed","hd","ram","screen","ads")
dataset_with_novelty <- data_with_novelty[,-1:-2]
map_B <- list()
mapA_scale_summary = map_A[[3]]$scale_summary
map_B <- muHVT::HVT(dataset_with_novelty,
                  n_cells = 12 ,   #6
                  depth = 1,
                  quant.err = 0.2,
                  projection.scale = 10,
                  normalize = F,
                  distance_metric = "L1_Norm",
                  error_metric = "max",
                  quant_method = "kmeans",
                  diagnose = F
                  )

The datatable displayed below is the summary from map B (layer 2) containing 12 records.

summaryTable(map_B[[3]]$summary,scroll = T,limit = 500)

Segment.Level	Segment.Parent	Segment.Child	n	Cell.ID	Quant.Error	price	speed	hd	ram	screen	ads
1	1	1	1	6	0	-1.08	0.68	0.45	-0.76	-0.67	-1.98
1	1	2	1	3	0	-1.51	0.68	0.45	-0.76	-0.67	-1.98
1	1	3	2	1	0.01	-1.55	-0.08	0.45	-0.76	-0.67	-1.98
1	1	4	2	11	0	1.86	1.11	4.62	4.20	2.64	-2.46
1	1	5	1	7	0	3.08	0.68	0.04	4.20	0.43	0.71
1	1	6	5	8	0.31	1.39	0.94	4.62	3.92	0.43	-2.46
1	1	7	1	12	0	5.51	0.68	3.07	4.20	2.64	0.50
1	1	8	2	9	0.15	1.34	2.30	4.62	3.49	0.43	-2.46
1	1	9	1	4	0	-1.32	0.68	0.45	-0.76	-0.67	-1.98
1	1	10	3	2	0.02	-1.53	0.68	0.45	-0.76	-0.67	-2.34
1	1	11	2	10	0.38	2.15	1.49	6.57	1.37	0.43	-0.28
1	1	12	3	5	0.02	-1.17	0.68	0.45	-0.76	-0.67	-2.34

Now let’s check the compression summary for HVT (map B). The table below shows no of cells, no of cells having quantization error below threshold and percentage of cells having quantization error below threshold for each level.

mapB_compression_summary <- map_B[[3]]$compression_summary %>%  dplyr::mutate_if(is.numeric, funs(round(.,4)))
compressionSummaryTable(mapB_compression_summary)

segmentLevel	noOfCells	noOfCellsBelowQuantizationError	percentOfCellsBelowQuantizationErrorThreshold	parameters
1	12	10	0.83	n_cells: 12 quant.err: 0.2 distance_metric: L1_Norm error_metric: max quant_method: kmeans

As it can be seen from the table above, 83% of the cells have hit the quantization threshold error.Since we are successfully able to attain the desired compression percentage, so we will not further subdivide the cells

5 Map C : Compressed Map without Novelty

Let us try to visualize the compressed Map C from the flow diagram below.

Figure 13:Flow map with highlighted bounding box in red around compressed map C

5.0.1 Iteration 1:

With the Novelties removed, we construct another hierarchical Voronoi tessellation map C layer 2 on the dataset without Novelty and below mentioned model parameters.

Model Parameters

Number of Cells at each Level = 10
Maximum Depth = 2
Quantization Error Threshold = 0.2
Error Metric = Max
Distance Metric = Manhattan

map_C <- list()
mapA_scale_summary = map_A[[3]]$scale_summary
map_C <- muHVT::HVT(dataset_without_novelty,
                  n_cells = 10,
                  depth = 2,
                  quant.err = 0.2,
                  projection.scale = 10,
                  normalize = F,
                  distance_metric = "L1_Norm",
                  error_metric = "max",
                  quant_method = "kmeans",
                  diagnose = F,
                  scale_summary = mapA_scale_summary)

Now let’s check the compression summary for HVT (map C). The table below shows no of cells, no of cells having quantization error below threshold and percentage of cells having quantization error below threshold for each level.

mapC_compression_summary <- map_C[[3]]$compression_summary %>%  dplyr::mutate_if(is.numeric, funs(round(.,4)))
compressionSummaryTable(mapC_compression_summary)

segmentLevel	noOfCells	noOfCellsBelowQuantizationError	percentOfCellsBelowQuantizationErrorThreshold	parameters
1	10	0	0	n_cells: 10 quant.err: 0.2 distance_metric: L1_Norm error_metric: max quant_method: kmeans
2	100	7	0.07	n_cells: 10 quant.err: 0.2 distance_metric: L1_Norm error_metric: max quant_method: kmeans

As it can be seen from the table above, 0% of the cells have hit the quantization threshold error in level 1 and 7% of the cells have hit the quantization threshold error in level 2

5.0.2 Iteration 2:

Since, we are yet to achive atleast 80% compression at depth 2. Let’s try to compress again using the below mentioned set of model parameters.

Model Parameters

Number of Cells at each Level = 23
Maximum Depth = 2
Quantization Error Threshold = 0.2
Error Metric = Max
Distance Metric = Manhattan

map_C <- list()
map_C <- muHVT::HVT(dataset_without_novelty,
                  n_cells = 23,    #23
                  depth = 2,
                  quant.err = 0.2,
                  projection.scale = 10,
                  normalize = F,
                  distance_metric = "L1_Norm",
                  error_metric = "max",
                  quant_method = "kmeans",
                  diagnose = F,
                  scale_summary = mapA_scale_summary)

The datatable displayed below is the summary from map C (layer2) containing 552 records.

summaryTable(map_C[[3]]$summary,scroll = T,limit = 500)

Segment.Level	Segment.Parent	Segment.Child	n	Cell.ID	Quant.Error	price	speed	hd	ram	screen	ads
1	1	1	391	512	0.56	-1.27	-1.04	-0.91	-0.83	-0.59	0.86
1	1	2	105	96	1.02	2.08	0.75	0.11	0.71	2.64	0.56
1	1	3	190	55	1.37	1.48	0.02	2.32	2.63	0.12	-0.22
1	1	4	86	15	0.94	0.87	1.27	2.61	2.57	1.33	-1.76
1	1	5	257	326	0.49	0.41	0.45	-0.08	-0.20	-0.67	0.66
1	1	6	116	201	0.77	1.57	0.45	-0.24	0.27	-0.30	-1.30
1	1	7	235	228	0.58	0.85	-0.82	0.42	1.37	-0.47	0.52
1	1	8	149	185	0.84	-0.79	1.73	0.76	-0.22	-0.28	-1.75
1	1	9	353	306	0.69	-0.77	0.55	0.28	-0.22	-0.17	-0.79
1	1	10	234	297	0.54	0.25	0.50	-0.11	-0.16	0.43	0.66
1	1	11	330	478	0.56	-1.18	-0.79	-0.70	-0.76	-0.52	-0.69
1	1	12	373	434	0.6	-0.50	0.40	-0.84	-0.84	-0.56	0.66
1	1	13	209	147	0.81	1.32	0.99	0.36	1.37	-0.01	0.70
1	1	14	337	471	0.36	-0.51	-0.97	-0.87	-0.75	-0.67	0.57
1	1	15	283	404	0.71	0.06	-0.40	-0.78	-0.40	-0.42	-1.42
1	1	16	168	142	0.85	0.13	0.66	0.48	-0.02	2.64	-0.97
1	1	17	285	384	0.53	-0.04	-0.96	0.05	-0.12	-0.65	0.54
1	1	18	118	301	0.75	0.35	2.30	-0.13	-0.29	-0.28	0.82
1	1	19	256	414	0.47	-0.47	-0.84	-0.43	-0.48	0.43	0.60
1	1	20	78	57	1	0.18	1.67	2.05	1.31	0.39	-1.97
1	1	21	171	360	0.64	0.24	-0.46	-0.37	-0.41	2.64	0.59
1	1	22	170	130	1.28	0.28	-0.01	1.64	0.99	0.21	-0.62
1	1	23	89	219	0.88	1.98	0.59	0.20	-0.20	0.12	0.58
2	1	1	19	528	0.09	-1.31	-1.17	-1.19	-1.11	-0.67	0.99
2	1	2	18	479	0.31	-1.42	-0.87	-0.21	-0.72	-0.67	0.53
2	1	3	28	521	0.1	-1.47	-1.22	-1.11	-0.76	-0.67	0.89
2	1	4	10	530	0.14	-1.84	-1.04	-1.20	-1.11	-0.67	0.79
2	1	5	27	519	0.1	-1.20	-1.09	-1.19	-1.11	-0.67	0.50
2	1	6	13	524	0.18	-1.36	-1.10	-0.99	-0.87	0.43	1.36
2	1	7	5	523	0.04	-1.19	-1.27	-0.78	-0.76	-0.67	1.57
2	1	8	23	494	0.06	-1.18	-0.89	-0.78	-0.76	-0.67	0.72
2	1	9	27	514	0.14	-1.35	-1.27	-1.08	-0.76	-0.67	0.39
2	1	10	35	510	0.1	-1.08	-1.27	-0.88	-0.76	-0.67	0.90
2	1	11	6	529	0.15	-1.22	-0.62	-1.19	-1.11	-0.67	1.50
2	1	12	10	513	0.07	-0.95	-0.89	-0.85	-0.76	-0.67	1.57
2	1	13	10	517	0.22	-1.70	-1.19	-0.73	-0.83	-0.67	0.57
2	1	14	11	472	0.17	-1.19	-1.13	-0.33	-0.05	-0.67	0.97
2	1	15	11	507	0.19	-1.00	-0.93	-1.17	-0.63	-0.67	0.97
2	1	16	7	531	0.07	-1.58	-1.27	-1.18	-0.96	-0.67	1.57
2	1	17	26	499	0.09	-1.31	-0.89	-0.92	-0.76	-0.67	0.36
2	1	18	23	515	0.07	-0.99	-0.89	-1.19	-1.11	-0.67	0.92
2	1	19	13	520	0.14	-1.56	-0.98	-0.74	-0.76	-0.67	1.34
2	1	20	15	489	0.12	-1.05	-0.89	-0.26	-0.76	-0.67	1.31
2	1	21	16	503	0.18	-1.48	-0.79	-0.73	-0.76	-0.67	0.76
2	1	22	15	518	0.26	-1.37	-1.07	-1.09	-1.07	0.43	0.66
2	1	23	23	500	0.07	-1.03	-0.89	-0.82	-0.76	-0.67	1.06
2	2	1	4	108	0.12	2.31	0.68	-0.12	-0.05	2.64	1.31
2	2	2	3	118	0.11	2.53	0.68	-0.47	-0.76	2.64	0.36
2	2	3	7	99	0.21	1.06	0.80	0.29	1.37	2.64	0.35
2	2	4	2	89	0.06	1.09	2.30	0.25	-0.05	2.64	1.57
2	2	5	7	59	0.13	3.21	0.68	-0.27	1.37	2.64	0.53
2	2	6	7	88	0.11	1.85	0.68	0.16	1.37	2.64	0.85
2	2	7	2	145	0.11	1.14	0.68	0.10	-0.05	2.64	1.36
2	2	8	3	38	0.11	3.32	0.68	-0.27	1.37	2.64	-0.78
2	2	9	6	100	0.17	2.86	0.68	0.10	-0.05	2.64	0.48
2	2	10	2	24	0.11	3.50	2.30	1.23	-0.05	2.64	-0.23
2	2	11	2	12	0.38	4.64	0.68	1.36	0.66	2.64	0.37
2	2	12	6	56	0.25	1.52	2.30	0.32	1.37	2.64	0.77
2	2	13	4	50	0.34	1.64	0.49	1.90	1.37	2.64	0.14
2	2	14	13	76	0.22	2.42	0.68	0.03	1.37	2.64	0.53
2	2	15	4	103	0.12	1.08	2.30	0.14	-0.05	2.64	0.52
2	2	16	11	167	0.13	1.23	0.68	-0.20	-0.05	2.64	0.59
2	2	17	1	107	0	1.99	-0.08	0.49	-0.05	2.64	-0.62
2	2	18	4	84	0.15	1.52	0.68	0.34	1.37	2.64	1.36
2	2	19	5	169	0.17	1.81	-0.08	-0.29	-0.19	2.64	0.99
2	2	20	4	70	0.11	2.69	-0.89	-0.27	1.37	2.64	0.69
2	2	21	4	122	0.11	1.99	0.68	0.22	-0.05	2.64	0.57
2	2	22	3	60	0.12	2.74	-0.89	-0.27	1.37	2.64	-0.78
2	2	23	1	195	0	1.63	0.68	-0.95	-0.76	2.64	0.69
2	3	1	5	39	0.04	1.54	-0.08	2.29	2.79	0.43	-0.81
2	3	2	3	9	0.05	1.71	-0.89	2.29	2.79	2.64	-0.55
2	3	3	10	51	0.07	1.10	-0.08	2.29	2.79	0.43	-0.56
2	3	4	5	32	0.39	3.74	-0.10	2.60	1.37	-0.67	0.96
2	3	5	3	19	0.02	2.16	2.30	2.29	2.79	-0.67	0.04
2	3	6	1	20	0	2.03	2.30	2.29	2.79	0.43	0.35
2	3	7	16	49	0.18	1.49	-0.89	2.29	2.79	0.43	-0.06
2	3	8	7	40	0.09	1.80	-0.08	2.29	2.79	0.43	-0.26
2	3	9	2	54	0.05	2.90	0.68	3.73	-0.05	-0.67	0.69
2	3	10	1	91	0	1.16	0.68	2.29	1.37	-0.67	0.04
2	3	11	7	46	0.05	1.16	0.68	2.29	2.79	0.43	-0.49
2	3	12	4	77	0.12	1.66	0.68	2.44	1.37	0.43	0.80
2	3	13	7	37	0.08	1.63	0.68	2.29	2.79	0.43	-0.73
2	3	14	12	53	0.1	1.69	0.68	2.29	2.79	-0.67	0.38
2	3	15	2	43	0.04	3.07	0.68	2.29	1.37	-0.67	-0.87
2	3	16	5	23	0.04	2.06	2.30	2.29	2.79	-0.67	0.35
2	3	17	12	45	0.06	0.92	0.68	2.29	2.79	0.43	-0.86
2	3	18	5	82	0.13	1.35	0.68	2.47	1.37	0.43	0.11
2	3	19	5	17	0.04	2.23	2.30	2.29	2.79	-0.67	0.69
2	3	20	24	61	0.12	1.30	-0.89	2.29	2.79	-0.67	0.33
2	3	21	9	36	0.18	2.07	0.68	2.29	2.79	0.43	-0.03
2	3	22	13	52	0.11	0.65	-0.08	2.29	2.79	0.43	-1.03
2	3	23	32	48	0.13	1.15	-0.89	2.29	2.79	0.43	-0.66
2	4	1	5	7	0.11	0.51	2.30	2.05	1.37	2.64	-2.33
2	4	2	8	18	0.07	0.52	0.68	3.07	2.79	0.43	-2.36
2	4	3	6	41	0.05	0.79	0.68	2.29	2.79	0.43	-1.24
2	4	4	2	3	0	1.08	2.30	3.07	2.79	0.43	-2.46
2	4	5	3	8	0.13	1.91	0.43	2.29	2.79	2.64	-0.55
2	4	6	1	11	0	0.01	1.11	3.07	2.79	0.43	-2.45
2	4	7	3	26	0.03	0.73	-0.08	3.07	2.79	0.43	-1.98
2	4	8	1	4	0	0.99	-0.08	3.07	2.79	2.64	-1.98
2	4	9	3	2	0.05	1.48	2.30	2.29	2.79	2.64	-1.08
2	4	10	2	14	0.02	0.81	0.68	3.07	2.79	0.43	-2.46
2	4	11	1	6	0	0.74	2.30	3.07	2.79	0.43	-1.98
2	4	12	2	16	0.02	0.89	1.11	3.07	2.79	0.43	-1.98
2	4	13	2	29	0.04	0.84	2.30	1.70	1.37	2.64	-1.02
2	4	14	6	5	0.03	0.74	2.30	3.07	2.79	0.43	-2.40
2	4	15	7	1	0.23	1.03	1.16	3.07	2.79	2.64	-2.34
2	4	16	5	25	0.02	1.02	2.30	2.29	2.79	0.43	-1.23
2	4	17	6	22	0.25	0.85	-0.22	2.29	2.79	2.64	-0.97
2	4	18	2	13	0.05	1.21	0.68	2.29	2.79	2.64	-1.10
2	4	19	5	30	0.11	0.32	0.68	2.17	1.37	2.64	-2.29
2	4	20	6	10	0.04	0.69	1.11	3.07	2.79	0.43	-2.32
2	4	21	1	34	0	0.30	-0.08	2.29	1.37	2.64	-1.98
2	4	22	6	21	0.06	1.46	2.30	2.29	2.79	0.43	-1.01
2	4	23	3	28	0.01	1.00	2.30	2.29	2.79	0.43	-0.79
2	5	1	24	300	0.13	0.57	0.68	0.13	-0.05	-0.67	0.72
2	5	2	9	332	0.08	-0.44	0.68	-0.04	-0.05	-0.67	0.21
2	5	3	5	310	0.12	0.37	-0.08	0.29	-0.05	-0.67	-0.14
2	5	4	21	312	0.17	0.35	0.86	0.11	-0.05	-0.67	1.39
2	5	5	6	311	0.06	-0.28	0.68	0.45	-0.05	-0.67	0.30
2	5	6	8	287	0.15	0.45	0.68	0.16	-0.05	-0.67	-0.20
2	5	7	5	305	0.06	-0.07	0.68	0.45	-0.05	-0.67	0.48
2	5	8	7	333	0.12	0.31	0.68	-0.57	-0.05	-0.67	0.57
2	5	9	12	319	0.06	-0.12	0.68	0.04	-0.05	-0.67	0.14
2	5	10	13	358	0.15	-0.04	-0.08	0.00	-0.05	-0.67	0.83
2	5	11	11	371	0.16	0.41	0.68	-0.40	-0.76	-0.67	0.94
2	5	12	7	314	0.16	1.02	0.68	-0.39	-0.15	-0.67	1.12
2	5	13	17	363	0.2	0.66	0.63	-0.69	-0.76	-0.67	0.15
2	5	14	15	278	0.11	1.06	0.68	0.06	-0.05	-0.67	0.76
2	5	15	8	356	0.16	0.13	0.79	-0.13	-0.76	-0.67	0.38
2	5	16	11	275	0.19	1.06	0.68	-0.09	-0.05	-0.67	0.19
2	5	17	23	334	0.13	0.51	-0.08	0.01	-0.05	-0.67	0.91
2	5	18	17	324	0.11	0.69	-0.08	-0.08	-0.05	-0.67	0.46
2	5	19	12	402	0.15	0.15	-0.08	-0.20	-0.76	-0.67	0.94
2	5	20	7	386	0.14	1.08	-0.08	-0.62	-0.76	-0.67	0.63
2	5	21	12	336	0.2	-0.17	0.68	-0.04	-0.05	-0.67	0.86
2	5	22	7	364	0.13	0.24	-0.08	-0.05	-0.05	-0.67	1.57
2	5	23	0	NA	NA	NA	NA	NA	NA	NA	NA
2	6	1	6	184	0.1	2.46	0.68	0.21	-0.05	-0.67	-0.87
2	6	2	9	133	0.29	1.43	0.51	-0.44	1.37	0.43	-1.15
2	6	3	2	233	0.08	1.08	0.68	0.47	-0.05	-0.67	-0.71
2	6	4	9	247	0.22	0.90	0.59	-0.69	-0.13	0.43	-1.39
2	6	5	2	194	0.08	2.30	0.30	-0.32	-0.05	-0.67	-1.71
2	6	6	8	238	0.26	1.04	0.58	-0.29	-0.14	0.43	-0.77
2	6	7	9	127	0.06	2.98	0.68	0.28	-0.05	-0.67	-1.67
2	6	8	4	165	0.11	1.26	-0.08	-0.07	1.37	-0.67	-1.37
2	6	9	5	124	0.19	1.76	0.53	-0.29	1.37	-0.67	-1.66
2	6	10	1	101	0	3.77	0.68	0.15	-0.05	-0.67	-1.72
2	6	11	5	292	0.22	1.44	0.53	-0.77	-0.33	-0.67	-1.67
2	6	12	1	365	0	1.35	-0.08	-0.67	-0.76	-0.67	-0.62
2	6	13	4	149	0.06	1.43	0.68	0.15	1.37	-0.67	-0.87
2	6	14	10	197	0.2	1.57	0.68	-0.47	-0.33	0.43	-1.64
2	6	15	3	159	0.2	1.48	2.30	0.28	-0.05	-0.67	-0.87
2	6	16	3	280	0.1	0.85	-0.08	0.22	-0.05	-0.67	-0.68
2	6	17	9	191	0.15	1.09	-0.93	-0.29	1.37	-0.67	-1.62
2	6	18	4	140	0.08	3.03	-0.08	0.15	-0.05	-0.67	-1.65
2	6	19	7	294	0.05	0.73	0.68	-0.69	-0.05	-0.67	-1.60
2	6	20	3	112	0.09	2.96	0.68	0.12	-0.05	0.43	-1.72
2	6	21	2	270	0.04	1.61	0.68	-0.71	-0.05	-0.67	-0.87
2	6	22	8	279	0.09	0.84	0.68	-0.36	-0.05	-0.67	-0.84
2	6	23	2	237	0.08	2.30	-0.49	0.15	-0.05	-0.67	-1.12
2	7	1	8	210	0.16	0.51	-1.18	0.46	1.37	0.43	1.10
2	7	2	16	231	0.12	1.01	-0.91	0.35	1.37	-0.67	0.40
2	7	3	12	211	0.1	1.39	-0.89	0.37	1.37	-0.67	0.29
2	7	4	8	209	0.06	0.35	-0.89	1.20	1.37	-0.67	0.35
2	7	5	5	263	0.05	0.58	-0.89	0.45	1.37	-0.67	1.57
2	7	6	12	202	0.18	0.49	-1.02	0.55	1.37	0.43	0.36
2	7	7	14	264	0.08	0.43	-0.89	0.45	1.37	-0.67	0.64
2	7	8	2	166	0.09	0.99	-0.08	0.45	1.37	0.43	0.26
2	7	9	11	216	0.14	0.82	-1.03	0.15	1.37	-0.67	-0.85
2	7	10	20	220	0.09	1.20	-0.91	0.45	1.37	-0.67	0.84
2	7	11	9	265	0.07	0.48	-1.27	0.45	1.37	-0.67	0.66
2	7	12	14	190	0.21	1.09	-0.89	0.28	1.37	0.43	0.63
2	7	13	9	222	0.09	0.82	-1.06	0.45	1.37	-0.67	-0.07
2	7	14	7	168	0.2	0.97	-1.00	0.03	1.37	0.43	-0.83
2	7	15	9	204	0.2	0.72	-0.08	0.45	1.37	-0.55	1.43
2	7	16	17	243	0.09	0.82	-0.98	0.46	1.37	-0.67	0.95
2	7	17	7	262	0.04	0.22	-0.89	0.45	1.37	-0.67	0.04
2	7	18	7	285	0.07	0.28	-1.22	0.45	1.37	-0.67	1.12
2	7	19	6	179	0.12	1.31	-0.08	0.35	1.37	-0.67	-0.26
2	7	20	17	189	0.14	1.26	-0.08	0.46	1.37	-0.67	0.84
2	7	21	3	316	0.02	0.10	-1.27	0.45	1.37	-0.67	1.57
2	7	22	11	183	0.11	1.44	-0.08	0.34	1.37	-0.67	0.42
2	7	23	11	251	0.09	0.72	-1.24	0.29	1.37	-0.67	0.36
2	8	1	5	116	0.08	-0.74	0.68	1.70	-0.05	0.43	-2.35
2	8	2	2	282	0	-1.43	0.68	0.45	-0.76	0.43	-2.29
2	8	3	8	182	0.09	-0.47	2.30	0.49	-0.05	0.43	-0.85
2	8	4	10	236	0.19	-0.61	2.30	0.49	-0.05	-0.67	-1.01
2	8	5	13	87	0.15	-0.66	2.30	1.70	-0.05	-0.16	-2.28
2	8	6	4	117	0.13	-1.29	0.49	2.29	-0.76	-0.67	-2.17
2	8	7	2	64	0.02	-1.12	2.30	2.29	-0.76	-0.67	-2.37
2	8	8	3	104	0.06	-0.17	2.30	2.29	-0.05	-0.67	-0.98
2	8	9	4	170	0.08	-0.90	1.11	1.35	-0.05	0.43	-1.21
2	8	10	7	146	0.07	-0.91	2.30	0.47	-0.05	-0.67	-2.34
2	8	11	12	409	0.11	-0.78	2.30	-0.33	-0.76	-0.67	-1.03
2	8	12	7	241	0.1	-0.19	2.30	0.33	-0.05	-0.67	-0.89
2	8	13	4	258	0.09	0.04	2.30	-0.08	-0.05	-0.67	-1.04
2	8	14	9	330	0.09	-1.17	2.30	0.45	-0.76	-0.67	-2.26
2	8	15	6	212	0.13	-0.74	0.68	0.30	-0.05	0.43	-2.40
2	8	16	7	175	0.07	-0.53	2.30	0.49	-0.05	0.43	-1.23
2	8	17	4	109	0.04	-0.38	2.30	1.70	-0.05	0.43	-1.05
2	8	18	10	144	0.09	-0.89	0.68	1.70	-0.05	-0.67	-2.20
2	8	19	1	283	0	-1.59	0.68	-0.19	-0.05	0.43	-2.29
2	8	20	7	123	0.17	-0.94	2.30	0.46	-0.35	0.43	-2.27
2	8	21	3	329	0.06	-0.86	2.30	-0.29	-0.76	0.43	-0.98
2	8	22	21	277	0.11	-1.16	0.68	0.48	-0.05	-0.67	-2.25
2	8	23	0	NA	NA	NA	NA	NA	NA	NA	NA
2	9	1	33	331	0.22	-0.57	-0.08	0.41	-0.05	-0.67	-0.71
2	9	2	10	368	0.19	-0.75	0.68	-0.60	-0.76	0.43	-0.42
2	9	3	13	423	0.19	-1.02	0.68	-0.69	-0.70	-0.67	-0.83
2	9	4	8	335	0.2	-0.08	0.68	-0.49	-0.23	-0.67	-0.86
2	9	5	15	377	0.21	-1.31	-0.08	0.30	-0.76	0.43	-0.98
2	9	6	8	224	0.04	-0.74	1.11	0.50	-0.05	0.43	-1.22
2	9	7	22	261	0.13	-0.22	0.68	0.29	-0.05	0.43	-0.60
2	9	8	14	381	0.28	-0.89	0.57	-0.09	-0.51	-0.67	-0.23
2	9	9	14	257	0.08	-0.64	0.68	0.49	-0.05	0.43	-0.76
2	9	10	13	354	0.27	-1.37	0.33	0.47	-0.27	-0.67	-0.93
2	9	11	9	248	0.16	-1.00	0.68	0.57	-0.05	0.43	-1.22
2	9	12	23	323	0.13	-0.51	0.68	0.02	-0.05	-0.67	-0.46
2	9	13	10	344	0.25	-1.39	0.68	-0.30	-0.48	0.43	-1.23
2	9	14	11	267	0.11	-1.03	0.68	0.41	-0.05	0.43	-0.85
2	9	15	20	422	0.17	-1.43	0.68	-0.23	-0.72	-0.67	-1.02
2	9	16	23	206	0.26	-0.52	0.70	1.25	-0.05	0.43	-0.79
2	9	17	8	304	0.13	-0.86	0.68	-0.12	-0.05	0.43	-0.39
2	9	18	8	240	0.05	-0.72	1.11	0.50	-0.05	0.43	-0.83
2	9	19	32	303	0.35	-0.82	0.68	0.33	0.04	-0.67	-1.07
2	9	20	13	317	0.16	-1.11	0.68	0.34	-0.76	0.43	-0.90
2	9	21	10	308	0.22	-0.75	-0.24	0.33	-0.05	0.43	-0.69
2	9	22	33	296	0.2	-0.39	0.68	0.55	-0.05	-0.67	-0.56
2	9	23	3	196	0.03	-0.83	-0.08	1.70	-0.05	-0.67	-1.98
2	10	1	4	269	0.07	0.51	0.68	-0.55	-0.05	0.43	-0.62
2	10	2	8	327	0.1	-0.43	0.68	-0.12	-0.05	0.43	1.46
2	10	3	23	318	0.15	0.23	-0.08	-0.23	-0.05	0.43	0.69
2	10	4	3	346	0.12	-0.04	0.68	-0.74	-0.76	0.43	-0.31
2	10	5	9	271	0.17	0.14	0.73	0.34	-0.05	0.43	1.57
2	10	6	10	273	0.12	0.92	0.68	-0.54	-0.05	0.43	0.74
2	10	7	9	299	0.11	0.93	-0.08	-0.36	-0.05	0.43	0.66
2	10	8	6	307	0.08	-0.01	0.68	-0.52	-0.05	0.43	0.38
2	10	9	8	289	0.15	0.67	-0.08	-0.27	-0.05	0.43	-0.15
2	10	10	13	325	0.26	0.16	-0.08	0.00	-0.16	0.43	1.23
2	10	11	13	315	0.18	-0.46	0.68	-0.14	-0.05	0.43	0.64
2	10	12	10	259	0.12	0.83	0.68	-0.14	-0.05	0.43	0.32
2	10	13	7	234	0.06	-0.20	0.68	1.23	-0.05	0.43	0.35
2	10	14	12	260	0.16	0.74	0.72	0.08	-0.05	0.43	0.89
2	10	15	8	249	0.12	0.66	0.68	0.48	-0.14	0.43	0.81
2	10	16	13	268	0.09	0.04	0.68	0.49	-0.05	0.43	0.60
2	10	17	11	256	0.11	0.31	0.68	0.24	-0.05	0.43	-0.06
2	10	18	6	342	0.17	0.82	0.30	-0.76	-0.76	0.43	0.64
2	10	19	8	302	0.15	0.22	0.68	-0.33	-0.05	0.43	1.20
2	10	20	12	370	0.24	-0.28	0.75	-0.51	-0.76	0.43	0.84
2	10	21	19	281	0.11	0.29	0.68	-0.07	-0.05	0.43	0.64
2	10	22	9	290	0.13	-0.34	0.68	0.15	-0.05	0.43	0.20
2	10	23	13	351	0.11	0.21	0.68	-0.70	-0.76	0.43	0.66
2	11	1	10	411	0.22	-1.09	-0.93	0.23	-0.12	-0.67	-0.72
2	11	2	14	502	0.14	-1.13	-0.97	-1.01	-0.86	-0.67	-0.09
2	11	3	7	481	0.2	-0.81	-0.08	-1.20	-1.11	-0.36	-0.96
2	11	4	19	516	0.16	-0.95	-0.95	-1.13	-0.91	-0.67	-1.64
2	11	5	14	482	0.12	-1.58	-0.89	-0.16	-0.76	-0.67	-0.68
2	11	6	24	498	0.16	-1.36	-0.94	-0.85	-0.77	-0.67	-0.46
2	11	7	17	527	0.25	-1.29	-1.25	-1.06	-0.84	-0.61	-1.65
2	11	8	23	484	0.15	-1.01	-0.92	-0.84	-0.79	-0.67	-0.72
2	11	9	18	509	0.1	-1.67	-0.91	-0.78	-0.76	-0.67	-0.75
2	11	10	10	435	0.15	-0.94	-0.08	-0.59	-0.69	-0.67	-0.89
2	11	11	19	491	0.25	-1.54	-0.93	-0.50	-0.74	-0.67	-0.11
2	11	12	12	452	0.25	-1.47	-0.76	-0.12	-0.79	0.43	-0.55
2	11	13	8	445	0.17	-1.22	-0.08	-0.43	-0.67	-0.67	-0.19
2	11	14	8	427	0.08	-0.60	-0.89	-0.75	-0.05	-0.67	-0.70
2	11	15	17	466	0.16	-0.52	-0.98	-0.84	-0.76	-0.67	-0.67
2	11	16	17	511	0.16	-1.09	-1.00	-1.06	-0.88	-0.67	-1.12
2	11	17	8	437	0.08	-0.69	-0.08	-0.75	-0.76	-0.67	-0.48
2	11	18	9	465	0.09	-1.33	-0.08	-0.78	-0.76	-0.67	-0.56
2	11	19	10	525	0.18	-1.69	-1.19	-1.13	-0.90	-0.67	-0.23
2	11	20	30	473	0.29	-1.06	-0.87	-0.89	-0.79	0.43	-0.61
2	11	21	6	450	0.1	-1.62	-0.08	-0.06	-0.76	-0.67	-0.70
2	11	22	18	457	0.26	-1.05	-0.89	-0.10	-0.68	-0.67	-0.16
2	11	23	12	453	0.09	-1.43	-0.08	-0.29	-0.76	-0.67	-1.02
2	12	1	25	397	0.2	-0.09	0.68	-0.76	-0.70	-0.67	0.48
2	12	2	13	394	0.18	-0.08	0.68	-0.81	-0.79	-0.67	-0.16
2	12	3	13	413	0.17	0.17	0.68	-1.08	-0.87	-0.67	0.72
2	12	4	21	474	0.12	-0.56	0.68	-1.19	-1.10	-0.67	0.96
2	12	5	15	442	0.11	-0.32	0.68	-1.19	-1.09	-0.67	0.31
2	12	6	12	458	0.26	-0.88	0.68	-0.73	-0.70	-0.67	1.24
2	12	7	17	405	0.25	-0.57	0.68	-0.86	-0.90	0.43	0.44
2	12	8	23	421	0.14	0.08	-0.08	-0.77	-0.76	-0.67	0.62
2	12	9	24	468	0.16	-0.66	-0.08	-1.13	-0.98	-0.67	0.37
2	12	10	6	433	0.13	-0.26	-0.08	-0.91	-0.88	-0.67	-0.11
2	12	11	8	449	0.09	-0.21	0.84	-0.78	-0.76	-0.67	1.57
2	12	12	10	454	0.22	-0.75	0.72	-0.93	-0.94	0.43	1.25
2	12	13	19	428	0.17	-0.83	-0.08	-0.26	-0.68	-0.67	0.55
2	12	14	8	506	0.12	-0.51	1.05	-1.19	-1.11	-0.67	1.36
2	12	15	9	443	0.16	-0.77	-0.08	-0.08	-0.76	-0.67	1.22
2	12	16	21	441	0.19	-0.46	-0.08	-0.80	-0.62	-0.67	0.85
2	12	17	21	436	0.14	-0.85	0.68	-0.87	-0.76	-0.67	0.44
2	12	18	27	492	0.15	-0.84	-0.08	-1.17	-1.05	-0.67	0.90
2	12	19	9	495	0.15	-0.81	-0.08	-0.91	-0.88	-0.67	1.48
2	12	20	19	431	0.24	-0.99	0.68	-0.80	-0.78	-0.67	-0.34
2	12	21	16	387	0.2	-0.62	0.68	-0.11	-0.67	-0.67	0.49
2	12	22	10	477	0.19	-0.79	-0.08	-1.19	-1.11	0.43	0.74
2	12	23	27	415	0.13	-0.11	0.76	-0.76	-0.76	-0.67	1.01
2	13	1	10	138	0.21	0.94	0.68	0.67	1.37	0.43	-0.06
2	13	2	14	131	0.21	2.10	0.68	0.25	1.37	0.43	0.77
2	13	3	4	198	0.02	0.61	0.68	0.45	1.37	-0.67	0.69
2	13	4	2	47	0.19	1.96	1.49	2.29	1.37	0.43	1.36
2	13	5	8	143	0.08	1.28	1.11	0.45	1.37	-0.67	1.36
2	13	6	4	98	0.2	0.98	2.30	0.73	1.37	0.43	0.00
2	13	7	10	155	0.13	1.55	0.68	-0.28	1.37	0.43	0.33
2	13	8	24	151	0.12	1.45	0.68	0.22	1.37	0.43	0.72
2	13	9	5	164	0.11	1.30	-0.08	0.40	1.37	0.43	0.73
2	13	10	12	176	0.12	1.08	0.68	-0.15	1.37	0.43	0.72
2	13	11	10	94	0.13	1.39	2.30	0.44	1.37	0.43	1.23
2	13	12	12	154	0.12	1.75	0.68	0.36	1.37	-0.67	0.29
2	13	13	4	174	0.1	0.56	0.68	0.82	1.37	-0.67	0.19
2	13	14	18	153	0.27	0.89	0.75	0.30	1.37	0.43	1.33
2	13	15	10	172	0.22	0.58	0.77	0.34	1.37	0.43	0.47
2	13	16	8	177	0.08	0.88	0.68	0.45	1.37	-0.67	1.41
2	13	17	2	125	0.09	2.71	0.68	0.34	1.37	-0.67	0.67
2	13	18	8	95	0.07	1.62	2.30	0.45	1.37	-0.67	1.41
2	13	19	7	173	0.07	1.27	0.68	0.45	1.37	-0.67	0.74
2	13	20	7	128	0.1	1.78	0.68	0.38	1.37	0.43	-0.02
2	13	21	16	111	0.2	1.15	2.30	0.59	1.37	-0.67	0.18
2	13	22	10	152	0.11	1.78	0.68	0.46	1.37	-0.67	0.90
2	13	23	4	162	0.07	1.30	0.68	0.46	1.37	-0.67	0.05
2	14	1	46	475	0.08	-0.74	-0.89	-0.78	-0.76	-0.67	0.52
2	14	2	36	469	0.16	-0.24	-0.94	-0.83	-0.76	-0.67	0.94
2	14	3	19	439	0.18	-0.52	-0.95	-0.74	-0.05	-0.67	0.60
2	14	4	13	459	0.15	0.21	-1.04	-0.93	-0.76	-0.67	0.60
2	14	5	24	501	0.14	-0.59	-1.00	-1.16	-0.89	-0.67	0.87
2	14	6	44	480	0.13	-0.63	-0.93	-0.78	-0.76	-0.67	0.98
2	14	7	35	493	0.13	-0.68	-0.91	-1.17	-0.98	-0.67	0.42
2	14	8	19	451	0.1	-0.20	-0.95	-0.74	-0.76	-0.67	-0.06
2	14	9	19	483	0.14	-0.72	-1.03	-0.93	-0.85	-0.67	-0.07
2	14	10	34	488	0.13	-0.61	-1.27	-0.93	-0.76	-0.67	0.54
2	14	11	11	455	0.18	-0.85	-0.89	-0.17	-0.69	-0.67	0.45
2	14	12	37	462	0.1	-0.26	-0.91	-0.85	-0.76	-0.67	0.39
2	14	13	0	NA	NA	NA	NA	NA	NA	NA	NA
2	14	14	0	NA	NA	NA	NA	NA	NA	NA	NA
2	14	15	0	NA	NA	NA	NA	NA	NA	NA	NA
2	14	16	0	NA	NA	NA	NA	NA	NA	NA	NA
2	14	17	0	NA	NA	NA	NA	NA	NA	NA	NA
2	14	18	0	NA	NA	NA	NA	NA	NA	NA	NA
2	14	19	0	NA	NA	NA	NA	NA	NA	NA	NA
2	14	20	0	NA	NA	NA	NA	NA	NA	NA	NA
2	14	21	0	NA	NA	NA	NA	NA	NA	NA	NA
2	14	22	0	NA	NA	NA	NA	NA	NA	NA	NA
2	14	23	0	NA	NA	NA	NA	NA	NA	NA	NA
2	15	1	13	341	0.17	0.19	-0.92	-0.52	-0.05	0.43	-0.93
2	15	2	16	361	0.16	0.24	0.68	-0.91	-0.45	-0.67	-1.62
2	15	3	5	456	0.11	-0.29	-0.89	-0.70	-0.76	-0.67	-1.12
2	15	4	26	461	0.2	-0.35	-0.08	-1.04	-0.81	-0.67	-1.59
2	15	5	16	444	0.3	-0.40	0.68	-1.15	-0.94	-0.61	-1.48
2	15	6	15	486	0.08	-0.50	-0.89	-0.92	-0.76	-0.67	-1.66
2	15	7	5	203	0.2	0.69	-1.12	-0.43	1.37	-0.23	-1.58
2	15	8	9	426	0.33	-0.40	-0.75	-0.77	-0.68	0.43	-1.23
2	15	9	14	369	0.19	0.28	-0.92	-0.38	-0.05	-0.67	-0.90
2	15	10	11	464	0.07	-0.06	-0.89	-0.82	-0.76	-0.67	-1.66
2	15	11	5	460	0.11	0.54	-0.89	-0.88	-0.76	-0.67	-1.70
2	15	12	7	410	0.17	0.51	-0.08	-0.92	-0.76	-0.67	-1.57
2	15	13	17	352	0.15	0.35	-0.89	-0.72	-0.13	0.43	-1.66
2	15	14	11	420	0.08	0.02	-1.03	-0.67	-0.05	-0.67	-1.65
2	15	15	13	396	0.13	0.43	-0.89	-0.71	-0.05	-0.67	-1.63
2	15	16	4	379	0.23	0.75	-0.69	-0.65	-0.76	0.15	-0.67
2	15	17	7	322	0.21	0.47	0.24	-0.72	-0.66	0.43	-1.52
2	15	18	25	343	0.22	0.36	-0.08	-0.63	-0.05	-0.67	-1.53
2	15	19	15	496	0.09	-0.38	-1.04	-1.11	-0.76	-0.67	-1.63
2	15	20	14	380	0.3	0.03	-0.08	-0.55	-0.46	-0.67	-0.82
2	15	21	14	293	0.21	0.50	-0.08	-0.67	-0.05	0.43	-1.14
2	15	22	10	353	0.17	0.20	0.68	-0.81	-0.48	-0.67	-0.92
2	15	23	11	432	0.09	-0.35	-0.89	-0.80	-0.05	-0.67	-1.61
2	16	1	8	58	0.25	0.04	2.30	1.70	-0.05	2.64	-1.20
2	16	2	1	33	0	1.25	2.30	1.20	1.37	2.64	-0.94
2	16	3	13	90	0.39	0.07	2.30	0.48	-0.05	2.64	-0.99
2	16	4	5	230	0.11	0.87	-0.89	-0.67	-0.33	2.64	-1.64
2	16	5	11	163	0.15	-0.13	0.68	0.38	-0.05	2.64	-0.78
2	16	6	4	75	0.04	0.84	-0.89	1.20	1.37	2.64	-0.83
2	16	7	17	207	0.2	-0.62	0.68	0.36	-0.76	2.64	-1.01
2	16	8	20	135	0.14	-0.24	0.98	0.51	-0.05	2.64	-1.10
2	16	9	9	132	0.15	1.33	-0.08	-0.65	-0.29	2.64	-1.52
2	16	10	8	74	0.2	0.95	0.39	1.10	1.37	2.64	-0.65
2	16	11	8	284	0.05	-0.76	-0.08	0.51	-0.76	2.64	-1.16
2	16	12	5	83	0.04	0.78	-0.89	1.20	1.37	2.64	-0.43
2	16	13	5	105	0.07	-0.44	0.68	0.49	-0.05	2.64	-2.23
2	16	14	4	136	0.09	1.24	0.68	-0.64	-0.05	2.64	-0.87
2	16	15	2	106	0.03	1.56	0.68	-0.71	-0.76	2.64	-1.71
2	16	16	9	120	0.06	-0.01	0.68	1.23	-0.05	2.64	-0.72
2	16	17	7	67	0.21	0.47	0.41	1.49	1.37	2.64	-0.97
2	16	18	7	213	0.33	0.07	0.57	-0.21	-0.05	2.64	-0.36
2	16	19	5	160	0.15	0.43	0.68	0.62	-0.05	2.64	0.17
2	16	20	6	320	0.13	-0.58	0.68	-0.26	-0.76	2.64	-0.44
2	16	21	3	85	0.06	0.38	0.68	2.29	-0.05	2.64	-0.61
2	16	22	6	345	0.1	-0.82	-0.08	0.21	-0.76	2.64	-0.79
2	16	23	5	110	0.06	1.39	0.68	-0.67	-0.05	2.64	-1.61
2	17	1	6	440	0.09	-0.58	-1.27	0.12	-0.05	-0.67	1.29
2	17	2	10	416	0.13	-0.58	-0.93	-0.18	-0.05	-0.67	0.64
2	17	3	12	417	0.09	-0.24	-0.92	0.15	-0.05	-0.67	1.57
2	17	4	9	349	0.12	0.29	-0.93	0.23	-0.05	-0.67	-0.11
2	17	5	5	309	0.28	0.52	-0.89	0.35	-0.05	0.43	0.52
2	17	6	16	385	0.13	0.31	-0.89	-0.45	-0.05	-0.67	0.41
2	17	7	23	372	0.09	0.31	-0.91	0.03	-0.05	-0.67	0.86
2	17	8	21	403	0.09	-0.15	-1.27	0.09	-0.05	-0.67	0.85
2	17	9	14	366	0.13	-0.37	-0.92	0.45	-0.05	-0.67	-0.31
2	17	10	11	419	0.13	-0.26	-0.89	-0.36	-0.05	-0.67	1.02
2	17	11	13	389	0.11	-0.35	-0.95	0.02	-0.05	-0.67	0.00
2	17	12	17	392	0.06	-0.26	-0.89	0.05	-0.05	-0.67	0.62
2	17	13	4	362	0.17	0.15	-1.08	0.01	-0.05	-0.67	-0.67
2	17	14	9	424	0.17	0.37	-0.89	-0.29	-0.76	-0.67	0.90
2	17	15	12	395	0.09	-0.06	-1.27	-0.09	-0.05	-0.67	0.37
2	17	16	18	399	0.11	-0.17	-0.89	0.09	-0.05	-0.67	1.05
2	17	17	15	373	0.09	-0.59	-0.89	0.45	-0.05	-0.67	-0.58
2	17	18	11	357	0.09	0.20	-0.89	0.47	-0.05	-0.67	0.68
2	17	19	15	398	0.26	0.98	-0.89	-0.41	-0.57	-0.67	0.49
2	17	20	20	367	0.08	0.25	-0.91	0.05	-0.05	-0.67	0.46
2	17	21	3	438	0.08	-0.60	-0.89	0.04	-0.76	-0.67	0.48
2	17	22	6	429	0.08	-0.22	-0.89	-0.07	-0.76	-0.67	0.68
2	17	23	15	382	0.08	-0.35	-0.92	0.45	-0.05	-0.67	0.47
2	18	1	4	430	0.06	-0.12	2.30	-0.78	-0.76	-0.67	0.52
2	18	2	5	199	0.07	0.53	2.30	0.46	-0.05	0.43	0.62
2	18	3	4	276	0.04	-0.21	2.30	0.03	-0.05	-0.67	-0.48
2	18	4	1	225	0	0.74	2.30	-0.19	-0.05	-0.67	-0.79
2	18	5	4	340	0.08	0.42	2.30	-0.56	-0.76	-0.67	-0.64
2	18	6	16	286	0.15	0.56	2.30	0.00	-0.05	-0.67	1.49
2	18	7	5	242	0.04	0.41	2.30	0.45	-0.05	-0.67	0.35
2	18	8	7	187	0.09	0.61	2.30	0.31	-0.05	0.43	1.57
2	18	9	8	200	0.15	0.62	2.30	0.08	-0.05	0.43	0.04
2	18	10	5	226	0.04	0.41	2.30	0.05	-0.05	0.43	0.69
2	18	11	8	463	0.07	0.24	2.30	-0.78	-0.76	-0.67	1.30
2	18	12	9	522	0.08	-0.14	2.30	-1.19	-1.11	-0.67	1.33
2	18	13	2	115	0.08	1.74	2.30	1.23	-0.05	-0.67	-0.03
2	18	14	6	274	0.18	0.31	2.30	-0.06	-0.05	-0.67	0.15
2	18	15	3	229	0.06	0.55	2.30	-0.06	-0.05	0.43	1.14
2	18	16	10	254	0.13	0.67	2.30	0.22	-0.05	-0.67	0.87
2	18	17	4	407	0.13	0.00	2.30	-0.78	-0.76	0.43	0.94
2	18	18	7	246	0.08	0.16	2.30	-0.04	-0.05	0.43	1.57
2	18	19	4	339	0.04	-0.04	2.30	0.05	-0.76	-0.67	0.04
2	18	20	3	217	0.01	0.65	2.30	0.03	-0.05	0.43	0.69
2	18	21	3	476	0.14	-0.52	2.30	-0.45	-0.76	-0.67	1.29
2	18	22	0	NA	NA	NA	NA	NA	NA	NA	NA
2	18	23	0	NA	NA	NA	NA	NA	NA	NA	NA
2	19	1	6	391	0.18	0.52	-0.89	-0.34	-0.64	0.43	0.98
2	19	2	6	383	0.07	0.68	-0.89	-0.56	-0.76	0.43	0.10
2	19	3	21	470	0.12	-1.02	-0.91	-0.76	-0.76	0.43	0.53
2	19	4	11	348	0.2	0.08	-1.03	-0.10	-0.05	0.43	0.14
2	19	5	10	446	0.15	-1.12	-0.81	-0.30	-0.76	0.43	0.01
2	19	6	14	350	0.08	0.07	-0.89	0.05	-0.05	0.43	0.74
2	19	7	8	388	0.27	-0.53	-0.38	-0.56	-0.40	0.43	-0.28
2	19	8	7	467	0.11	-1.18	-0.89	-0.29	-0.76	0.43	0.88
2	19	9	6	425	0.09	-0.49	-0.89	-0.23	-0.76	0.43	0.58
2	19	10	9	406	0.1	-0.18	-0.08	-0.75	-0.76	0.43	0.63
2	19	11	10	400	0.16	-0.36	-0.89	-0.71	-0.05	0.43	0.33
2	19	12	9	347	0.21	-0.22	-0.89	0.49	-0.13	0.43	0.63
2	19	13	8	497	0.1	-0.83	-0.89	-1.19	-1.11	0.43	0.44
2	19	14	16	378	0.12	-0.25	-1.03	-0.12	-0.05	0.43	0.74
2	19	15	16	418	0.15	-0.73	-0.08	-0.41	-0.76	0.43	0.82
2	19	16	22	448	0.15	-0.21	-0.94	-0.82	-0.76	0.43	0.77
2	19	17	13	485	0.15	-0.74	-0.95	-0.83	-0.76	0.43	1.20
2	19	18	13	447	0.14	-0.52	-0.98	-0.75	-0.76	0.43	0.17
2	19	19	10	412	0.21	-0.48	-0.81	-0.43	-0.05	0.43	1.25
2	19	20	11	355	0.16	-0.61	-0.89	0.20	-0.05	0.43	-0.14
2	19	21	9	390	0.1	-0.66	-0.89	-0.14	-0.05	0.43	0.65
2	19	22	10	401	0.15	-0.52	-0.93	0.13	-0.05	0.43	1.40
2	19	23	11	487	0.12	-0.83	-1.27	-0.86	-0.76	0.43	0.75
2	20	1	5	73	0.02	-0.13	0.68	1.70	1.37	0.43	-2.46
2	20	2	3	69	0.02	-0.02	0.68	2.29	1.37	0.43	-1.98
2	20	3	3	65	0.19	-0.83	1.22	3.07	-0.05	-0.67	-2.46
2	20	4	7	79	0.03	0.82	2.30	1.21	1.37	0.43	-0.92
2	20	5	5	62	0.03	0.13	0.68	2.29	1.37	0.43	-2.32
2	20	6	3	80	0.04	-0.03	0.68	1.70	1.37	0.43	-2.19
2	20	7	3	71	0.03	0.47	2.30	1.70	1.37	0.43	-0.79
2	20	8	2	72	0	0.22	0.68	1.70	1.37	0.43	-2.46
2	20	9	12	35	0.14	0.15	2.30	2.29	1.37	0.43	-2.29
2	20	10	4	44	0.06	-0.03	0.68	3.07	1.37	0.43	-2.25
2	20	11	11	42	0.07	0.15	2.30	1.70	1.37	0.43	-2.39
2	20	12	1	31	0	0.57	2.30	3.30	1.37	0.43	-1.25
2	20	13	5	63	0.08	-0.29	0.68	2.29	1.37	0.43	-2.35
2	20	14	6	66	0.05	0.39	2.30	1.70	1.37	0.43	-1.23
2	20	15	1	68	0	0.31	0.68	2.29	1.37	0.43	-1.98
2	20	16	3	78	0.05	1.06	2.30	1.23	1.37	0.43	-0.62
2	20	17	4	27	0.05	0.19	2.30	3.07	1.37	0.43	-2.25
2	20	18	0	NA	NA	NA	NA	NA	NA	NA	NA
2	20	19	0	NA	NA	NA	NA	NA	NA	NA	NA
2	20	20	0	NA	NA	NA	NA	NA	NA	NA	NA
2	20	21	0	NA	NA	NA	NA	NA	NA	NA	NA
2	20	22	0	NA	NA	NA	NA	NA	NA	NA	NA
2	20	23	0	NA	NA	NA	NA	NA	NA	NA	NA
2	21	1	4	504	0.17	0.72	-0.89	-0.66	-0.76	2.64	1.36
2	21	2	5	245	0.17	0.97	0.68	-0.65	-0.62	2.64	1.03
2	21	3	6	313	0.16	-0.20	0.68	-0.40	-0.52	2.64	0.41
2	21	4	10	338	0.18	0.27	-0.89	-0.34	-0.05	2.64	0.32
2	21	5	4	375	0.13	0.16	-0.49	0.04	-0.76	2.64	0.66
2	21	6	6	298	0.15	1.35	-0.08	-0.45	-0.76	2.64	0.94
2	21	7	10	526	0.21	-0.31	-1.08	-0.88	-0.76	2.64	1.28
2	21	8	11	490	0.15	-0.83	-0.89	-0.25	-0.76	2.64	-0.33
2	21	9	6	393	0.19	1.39	-0.89	-0.56	-0.76	2.64	-0.04
2	21	10	8	359	0.11	0.49	-0.89	-0.39	-0.05	2.64	0.95
2	21	11	6	295	0.1	0.19	-0.08	-0.29	-0.05	2.64	0.75
2	21	12	7	376	0.09	-0.05	-0.89	-0.19	-0.05	2.64	0.77
2	21	13	18	205	0.2	0.58	0.68	-0.13	-0.13	2.64	0.65
2	21	14	6	186	0.18	0.55	0.55	0.01	-0.05	2.64	1.50
2	21	15	6	328	0.14	0.27	-0.89	-0.73	-0.05	2.64	-0.76
2	21	16	2	215	0.1	0.75	-0.08	-0.46	-0.05	2.64	-0.35
2	21	17	5	408	0.12	-0.53	-0.08	-0.29	-0.76	2.64	0.19

Now let’s check the compression summary for HVT (map C). The table below shows no of cells, no of cells having quantization error below threshold and percentage of cells having quantization error below threshold for each level.

mapC_compression_summary <- map_C[[3]]$compression_summary %>%  dplyr::mutate_if(is.numeric, funs(round(.,4)))
compressionSummaryTable(mapC_compression_summary)

segmentLevel	noOfCells	noOfCellsBelowQuantizationError	percentOfCellsBelowQuantizationErrorThreshold	parameters
1	23	0	0	n_cells: 23 quant.err: 0.2 distance_metric: L1_Norm error_metric: max quant_method: kmeans
2	508	434	0.85	n_cells: 23 quant.err: 0.2 distance_metric: L1_Norm error_metric: max quant_method: kmeans

As it can be seen from the table above, 0% of the cells have hit the quantization threshold error in level 1 and 85% of the cells have hit the quantization threshold error in level 2

Let’s plot the Voronoi tessellation for layer 2 (map C)

muHVT::plotHVT(map_C,
        line.width = c(0.4,0.2), 
        color.vec = c("#141B41","#0582CA"),
        centroid.size = 0.1,
        maxDepth = 2)

Figure 14: The Voronoi Tessellation for layer 2 (map C) shown for the 100 cells in the dataset ’computers’ at level 2

Heat Maps

Now let’s plot all the features for each cell at level two as a heatmap for better visualization.


  hvtHmap(
  map_C,
  trainComputers,
  child.level = 2,
  hmap.cols = "n",
  line.width = c(0.6,0.4),
  color.vec = c("#141B41","#0582CA"),
  palette.color = 6,
  centroid.size = 0.1,
  show.points = T,
  quant.error.hmap = 0.2,
  n_cells.hmap = 100,
)

Figure 15: The Voronoi Tessellation with the heat map overlaid for features No. of entities in each cell


  hvtHmap(
  map_C,
  trainComputers,
  child.level = 2,
  hmap.cols = "price",
  line.width = c(0.6,0.4),
  color.vec = c("#141B41","#0582CA"),
  palette.color = 6,
  centroid.size = 0.1,
  show.points = T,
  quant.error.hmap = 0.2,
  n_cells.hmap = 100,
)

Figure 16: The Voronoi Tessellation with the heat map overlaid for features price in the ’computers’ dataset


  hvtHmap(
  map_C,
  trainComputers,
  child.level = 2,
  hmap.cols = "speed",
  line.width = c(0.6,0.4),
  color.vec = c("#141B41","#0582CA"),
  palette.color = 6,
  centroid.size = 0.1,
  show.points = T,
  quant.error.hmap = 0.2,
  n_cells.hmap = 100,
)

Figure 17: The Voronoi Tessellation with the heat map overlaid for features speed in the ’computers’ dataset


  hvtHmap(
  map_C,
  trainComputers,
  child.level = 2,
  hmap.cols = "hd",
  line.width = c(0.6,0.4),
  color.vec = c("#141B41","#0582CA"),
  palette.color = 6,
  centroid.size = 0.1,
  show.points = T,
  quant.error.hmap = 0.2,
  n_cells.hmap = 100,
)

Figure 18: The Voronoi Tessellation with the heat map overlaid for features hd in the ’computers’ dataset


  hvtHmap(
  map_C,
  trainComputers,
  child.level = 2,
  hmap.cols = "ram",
  line.width = c(0.6,0.4),
  color.vec = c("#141B41","#0582CA"),
  palette.color = 6,
  centroid.size = 0.1,
  show.points = T,
  quant.error.hmap = 0.2,
  n_cells.hmap = 100,
)

Figure 19: The Voronoi Tessellation with the heat map overlaid for features ram in the ’computers’ dataset


  hvtHmap(
  map_C,
  trainComputers,
  child.level = 2,
  hmap.cols = "screen",
  line.width = c(0.6,0.4),
  color.vec = c("#141B41","#0582CA"),
  palette.color = 6,
  centroid.size = 0.1,
  show.points = T,
  quant.error.hmap = 0.2,
  n_cells.hmap = 100,
)

Figure 20: The Voronoi Tessellation with the heat map overlaid for features screen in the ’computers’ dataset


  hvtHmap(
  map_C,
  trainComputers,
  child.level = 2,
  hmap.cols = "ads",
  line.width = c(0.6,0.4),
  color.vec = c("#141B41","#0582CA"),
  palette.color = 6,
  centroid.size = 0.1,
  show.points = T,
  quant.error.hmap = 0.2,
  n_cells.hmap = 100,
)

Figure 21: The Voronoi Tessellation with the heat map overlaid for features ads in the ’computers’ dataset

We now have the set of maps (map A, map B & map C) which will be used to predict which map and cell each test record is assigned to, but before that lets view our test dataset

6 Prediction on Test Data

Now once we have built the model, let us try to predict using our test dataset which cell and which layer each point belongs to.

Raw Testing Dataset

The testing dataset includes the following columns:

Price: The price of 486 PCs in US dollars.
Speed: The clock speed of the PCs in MHz.
HD: The size of the hard drive in MB.
RAM: The size of RAM in MB.
Screen: The size of the screen in inches.
Ads: The number of listings for 486 PCs’ prices for each month.

Let’s have a look at our randomly selected test dataset containing 1253 datapoints.

Table(head(testComputers_data))

Row.No	price	speed	hd	ram	screen	ads
3	1595	25	170	4	15	94
4	1849	25	170	8	14	94
7	1720	25	170	4	14	94
10	2575	50	210	4	15	94
11	2195	33	170	8	15	94
14	2295	25	245	8	14	94

The predictLayerHVT function is used to score the test data using the predictive set of maps. This function takes an input - a test data and a set of maps (map A, map B, map C).

Now, Let us understand the predictLayerHVT function.

predictLayerHVT(data,
                map_A,
                map_B,
                map_C,
                mad.threshold = 0.2,
                normalize = T, 
                distance_metric="L1_Norm",
                error_metric="max",
                child.level = 1, 
                line.width = c(0.6, 0.4, 0.2),
                color.vec = c("#141B41", "#6369D1", "#D8D2E1"),
                yVar= NULL,
                ...)

Each of the parameters of predictLayerHVT function has been explained below:

data - A dataframe containing the test dataset. The variables from this dataset can also be used to overlay as heatmap.
map A - A list of hvt.results.model obtained from HVT function while performing hierarchical vector quantization on train data. This list containes information about the hierarchical vector quantized data along with a summary section.
map B - A list of hvt.results.model obtained from HVT function while performing hierarchical vector quantization on data with novelty which was obtained as a result of removeNovelty function.
map C - A list of hvt.results.model obtained from HVT function while performing hierarchical vector quantization on data without novelty obtained as a result of removeNovelty function.
child.level - A number indicating the layer for which the heat map is to be plotted.(Only used if hmap.cols is not NULL).It specifies the specific layer within the hierarchical structure of the model.
mad.threshold - A numeric values indicating the permissible Mean Absolute Deviation. It determines how extreme a deviation from the median has to be in order to be considered an outlier.
normalize - A logical value indicating if the columns in the dataset should be normalized. If set to TRUE, the algorithm will normalize the data before performing compression. The default value is TRUE
distance_metric - It specifies the type of distance measurement used to calculate similarity or dissimilarity between data points. It can be set to “Euclidean” (default) for straight-line distance or “Manhattan” for the sum of absolute differences between coordinates.
error_metric - It specifies the error metrics to be used for evaluating the performance of the model. It can be “mean” or “max”. mean is selected by default.
yVar - Name of the dependent variable(s).
... - color.vec and line.width can be passed from here.

The function predicts based on the HVT maps - map A, map B and map C, constructed using HVT function. For each test record, the function will assign that record to Layer1 or Layer2. Layer1 contains the cell ids from map A and Layer 2 contains cell ids from map B (novelty map) and map C (map without novelty).

Prediction Algorithm

The prediction algorithm recursively calculates the distance between each point in the test dataset and the cell centroids for each level. The following steps explain the prediction method for a single point in the test dataset:

Calculate the distance between the point and the centroid of all the cells in the first level.
Find the cell whose centroid has minimum distance to the point.
Check if the cell drills down further to form more cells.
If it doesn’t, return the path. Or else repeat steps 1 to 4 till we reach a level at which the cell doesn’t drill down further.

Note : The prediction algorithm will not work if some of the variables used to perform quantization are missing. In the test dataset, we should not remove any features

Let’s see which cell and layer each point belongs to and check the Mean Absolute Difference.


validation_data <- testComputers
new_predict <- predictLayerHVT(
    data=validation_data,
    map_A,
    map_B,
    map_C,
    normalize = T
  )

predictions <- new_predict %>%
  dplyr::select(Layer1.Cell.ID, Layer2.Cell.ID) %>%
  mutate(Cell.ID = as.numeric(gsub("[A]", "", Layer1.Cell.ID)),
         Row.No = row.names(testComputers_data))

merged_df <- merge(predictions, map_A[[3]]$summary, by = "Cell.ID", all.x = TRUE) %>%
  arrange(as.numeric(Row.No)) %>%
  select(Row.No, price, speed, hd, ram, screen, ads, Layer1.Cell.ID, Layer2.Cell.ID) %>%
  rename(price_act = price, speed_act = speed, hd_act = hd,
         ram_act = ram, screen_act = screen, ads_act = ads)

colnames(merged_df) <- c("Row.No", "price_act", "speed_act", "hd_act", "ram_act", "screen_act", "ads_act",
                         "Layer1.Cell.ID", "Layer2.Cell.ID")


combined <- merged_df %>%
  mutate(Cell.ID = gsub("[C]", "", Layer2.Cell.ID)) %>%
  merge(map_C[[3]]$summary, by = "Cell.ID", all.x = TRUE) %>%
  arrange(as.numeric(Row.No)) %>%
  select(Row.No, price_act, speed_act, hd_act, ram_act, screen_act, ads_act, Layer1.Cell.ID, Layer2.Cell.ID,
         Segment.Level, Segment.Parent, Segment.Child, n, Quant.Error, price, speed, hd, ram, screen, ads)


merged_df <- combined %>%
  mutate(Cell.ID = gsub("[B]", "", Layer2.Cell.ID)) %>%
  merge(map_B[[3]]$summary, by = "Cell.ID", all.x = TRUE) %>%
  arrange(as.numeric(Row.No)) %>%
  select(Row.No, price_act, speed_act, hd_act, ram_act, screen_act, ads_act, Layer1.Cell.ID, Layer2.Cell.ID,
         price.x, speed.x, hd.x, ram.x, screen.x, ads.x, price.y, speed.y, hd.y, ram.y, screen.y, ads.y) %>%
  mutate(price_pred = coalesce(price.x, price.y),
         speed_pred = coalesce(speed.x, speed.y),
         hd_pred = coalesce(hd.x, hd.y),
         ram_pred = coalesce(ram.x, ram.y),
         screen_pred = coalesce(screen.x, screen.y),
         ads_pred = coalesce(ads.x, ads.y)) %>%
  select(Row.No, price_act, speed_act, hd_act, ram_act, screen_act, ads_act, Layer1.Cell.ID, Layer2.Cell.ID,
         price_pred, speed_pred, hd_pred, ram_pred, screen_pred, ads_pred)

sorted_df <- merged_df
sorted_df$diff <- rowMeans(abs(sorted_df[, c("price_act","speed_act","hd_act","ram_act","screen_act","ads_act")] - sorted_df[, c("price_pred","speed_pred","hd_pred","ram_pred","screen_pred","ads_pred")]))
rownames(sorted_df) <- NULL
options(scipen = 999)
sorted_df %>% head(1000) %>%as.data.frame() %>%Table(scroll = T)

Row.No	price_act	speed_act	hd_act	ram_act	screen_act	ads_act	Layer1.Cell.ID	Layer2.Cell.ID	price_pred	speed_pred	hd_pred	ram_pred	screen_pred	ads_pred	diff
1	-0.9674386	-1.0173151	-1.0699653	-0.9362186	0.4307274	-1.4008948	A24	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.4419065
2	-0.3449415	-0.8904536	-0.7968915	-0.0501185	-0.6741149	-1.6554312	A143	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2938894
3	-0.6009525	-1.2710382	-1.0771071	-0.7589986	-0.6741149	-1.6630494	A29	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.4267005
4	0.4887879	0.1720118	-0.7343040	-0.7589986	0.4307274	-1.5151673	A237	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3912334
5	0.3675560	-0.8904536	-0.7187220	-0.0501185	0.4307274	-1.6549831	A223	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3823913
6	0.0090558	-1.0075566	-0.6679808	-0.0501185	-0.6741149	-1.5682532	A162	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2562455
7	0.3343904	-0.0817113	-0.6924924	-0.0501185	-0.6741149	-1.6366099	A215	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2500833
8	0.0168493	-0.8904536	-0.6745732	-0.7589986	0.4307274	-1.6944183	A165	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3556972
9	1.0620418	0.1720118	-0.8985638	-0.6408519	-0.6741149	-1.6630494	A214	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.4051110
10	1.3306764	-0.0817113	-0.6529316	-0.2864119	2.6404120	-1.5241299	A379	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.6659147
11	3.0346588	-0.0817113	0.1512706	-0.0501185	-0.6741149	-1.6507259	A367	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.5705299
12	0.9975291	-1.0173151	-0.2850242	1.3676416	-0.6741149	-1.6059131	A316	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.6435088
13	0.8693078	-0.8904536	-0.6467482	-0.3539243	2.6404120	-1.4466679	A343	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.5724049
14	0.3343904	-0.0817113	-0.6924924	-0.0501185	-0.6741149	-1.6366099	A215	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2500833
15	0.3343904	-0.0817113	-0.6924924	-0.0501185	-0.6741149	-1.6366099	A215	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2500833
16	0.4268397	-0.8904536	-0.7057371	-0.0501185	-0.6741149	-1.6271992	A187	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2915539
17	0.4268397	-0.8904536	-0.7057371	-0.0501185	-0.6741149	-1.6271992	A187	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2915539
18	-0.6009525	-1.2710382	-1.0771071	-0.7589986	-0.6741149	-1.6630494	A29	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.4267005
19	1.5526376	0.6794579	-0.4507596	-0.3078931	0.4307274	-1.5917564	A330	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.3444185
20	-0.9674386	-1.0173151	-1.0699653	-0.9362186	0.4307274	-1.4008948	A24	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.4419065
21	-0.8159512	-0.8904536	-1.0411033	-0.7912204	-0.6741149	-1.6455317	A43	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3238867
22	0.3343904	-0.0817113	-0.6924924	-0.0501185	-0.6741149	-1.6366099	A215	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.5427937
23	-1.2826994	-1.2710382	-1.0498386	-0.8298866	-0.6741149	-1.6424355	A10	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3501730
24	0.4268397	-0.8904536	-0.7057371	-0.0501185	-0.6741149	-1.6271992	A187	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2915539
25	-0.3449415	-0.8904536	-0.7968915	-0.0501185	-0.6741149	-1.6554312	A143	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2938894
26	0.3675560	-0.8904536	-0.7187220	-0.0501185	0.4307274	-1.6549831	A223	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3823913
27	0.9975291	-1.0173151	-0.2850242	1.3676416	-0.6741149	-1.6059131	A316	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.5624875
28	-0.8159512	-0.8904536	-1.0411033	-0.7912204	-0.6741149	-1.6455317	A43	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3238867
29	1.5526376	0.6794579	-0.4507596	-0.3078931	0.4307274	-1.5917564	A330	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.3444185
30	1.3665387	0.6794579	-0.6639491	-0.1790058	2.6404120	-1.3607671	A386	C142	0.1328959	0.6627507	0.4814828	-0.0248014	2.6404120	-0.9712527	0.4899168
31	0.0277818	0.6794579	-1.0848169	-0.7811511	-0.6741149	-1.6465247	A166	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3810747
32	1.5526376	0.6794579	-0.4507596	-0.3078931	0.4307274	-1.5917564	A330	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.3444185
33	-1.2826994	-1.2710382	-1.0498386	-0.8298866	-0.6741149	-1.6424355	A10	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3501730
34	0.5156322	0.6794579	-0.6943289	-0.0501185	-0.6741149	-1.6079937	A250	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.4020764
35	0.2098101	-0.8904536	-0.8031243	-0.7589986	-0.6741149	-1.6966589	A121	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2600096
36	1.0620418	0.1720118	-0.8985638	-0.6408519	-0.6741149	-1.6630494	A214	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.4051110
37	0.3675560	-0.8904536	-0.7187220	-0.0501185	0.4307274	-1.6549831	A223	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3823913
38	1.5526376	0.6794579	-0.4507596	-0.3078931	0.4307274	-1.5917564	A330	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.3444185
39	1.0620418	0.1720118	-0.8985638	-0.6408519	-0.6741149	-1.6630494	A214	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.4051110
40	0.5156322	0.6794579	-0.6943289	-0.0501185	-0.6741149	-1.6079937	A250	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.4572695
41	3.0346588	-0.0817113	0.1512706	-0.0501185	-0.6741149	-1.6507259	A367	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.5705299
42	0.8575062	0.6794579	-0.6465256	-0.1210066	0.4307274	-1.4053761	A292	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.4306902
43	-0.2117972	-0.0817113	-1.0117870	-0.7744091	-0.6741149	-1.6435656	A126	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2803545
44	0.3343904	-0.0817113	-0.6924924	-0.0501185	-0.6741149	-1.6366099	A215	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2500833
45	0.5156322	0.6794579	-0.6943289	-0.0501185	-0.6741149	-1.6079937	A250	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.4020764
46	0.9975291	-1.0173151	-0.2850242	1.3676416	-0.6741149	-1.6059131	A316	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.5624875
47	1.5474644	0.6794579	-0.3757335	1.3676416	0.4307274	-1.0222272	A370	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.4172149
48	0.8693078	-0.8904536	-0.6467482	-0.3539243	2.6404120	-1.4466679	A343	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.5724049
49	-1.2106241	-0.8904536	-1.2808087	-1.1134387	-0.6741149	-1.6372821	A6	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3596245
50	3.0346588	-0.0817113	0.1512706	-0.0501185	-0.6741149	-1.6507259	A367	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.5705299
51	3.0339927	0.6794579	0.2297796	-0.0501185	-0.4191513	-1.6840769	A382	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.4957143
52	0.8693078	-0.8904536	-0.6467482	-0.3539243	2.6404120	-1.4466679	A343	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.5724049
53	0.3343904	-0.0817113	-0.6924924	-0.0501185	-0.6741149	-1.6366099	A215	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2500833
54	0.5156322	0.6794579	-0.6943289	-0.0501185	-0.6741149	-1.6079937	A250	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.4572695
55	1.6169873	0.3532425	-0.2850242	1.3676416	-0.6741149	-1.6521663	A366	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.3337007
56	-0.3540405	-0.8904536	-0.9781217	-0.7589986	-0.6741149	-1.6344382	A85	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3241995
57	0.0090558	-1.0075566	-0.6679808	-0.0501185	-0.6741149	-1.5682532	A162	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2562455
58	-0.9674386	-1.0173151	-1.0699653	-0.9362186	0.4307274	-1.4008948	A24	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.4419065
59	0.5156322	0.6794579	-0.6943289	-0.0501185	-0.6741149	-1.6079937	A250	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.4020764
60	1.5474644	0.6794579	-0.3757335	1.3676416	0.4307274	-1.0222272	A370	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.4172149
61	0.5156322	0.6794579	-0.6943289	-0.0501185	-0.6741149	-1.6079937	A250	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.4572695
62	-0.6009525	-1.2710382	-1.0771071	-0.7589986	-0.6741149	-1.6630494	A29	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.4267005
63	-0.3540405	-0.8904536	-0.9781217	-0.7589986	-0.6741149	-1.6344382	A85	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3241995
64	-0.2117972	-0.0817113	-1.0117870	-0.7744091	-0.6741149	-1.6435656	A126	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2803545
65	0.8575062	0.6794579	-0.6465256	-0.1210066	0.4307274	-1.4053761	A292	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.4306902
66	0.3343904	-0.0817113	-0.6924924	-0.0501185	-0.6741149	-1.6366099	A215	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2500833
67	3.0346588	-0.0817113	0.1512706	-0.0501185	-0.6741149	-1.6507259	A367	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.5705299
68	0.3343904	-0.0817113	-0.6924924	-0.0501185	-0.6741149	-1.6366099	A215	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2500833
69	1.6169873	0.3532425	-0.2850242	1.3676416	-0.6741149	-1.6521663	A366	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.3337007
70	0.0277818	0.6794579	-1.0848169	-0.7811511	-0.6741149	-1.6465247	A166	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3810747
71	-1.2106241	-0.8904536	-1.2808087	-1.1134387	-0.6741149	-1.6372821	A6	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3596245
72	1.6169873	0.3532425	-0.2850242	1.3676416	-0.6741149	-1.6521663	A366	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.3337007
73	0.0168493	-0.8904536	-0.6745732	-0.7589986	0.4307274	-1.6944183	A165	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3556972
74	-0.2117972	-0.0817113	-1.0117870	-0.7744091	-0.6741149	-1.6435656	A126	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2803545
75	0.6126177	-0.0817113	-0.6667822	-0.0501185	0.4307274	-1.3986542	A261	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3651749
76	0.3675560	-0.8904536	-0.7187220	-0.0501185	0.4307274	-1.6549831	A223	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3823913
77	0.0277818	0.6794579	-1.0848169	-0.7811511	-0.6741149	-1.6465247	A166	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3810747
78	0.4887879	0.1720118	-0.7343040	-0.7589986	0.4307274	-1.5151673	A237	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3912334
79	0.0090558	-1.0075566	-0.6679808	-0.0501185	-0.6741149	-1.5682532	A162	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2562455
80	-1.2106241	-0.8904536	-1.2808087	-1.1134387	-0.6741149	-1.6372821	A6	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3596245
81	-1.2106241	-0.8904536	-1.2808087	-1.1134387	-0.6741149	-1.6372821	A6	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3596245
82	0.2098101	-0.8904536	-0.8031243	-0.7589986	-0.6741149	-1.6966589	A121	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2600096
83	-0.4639412	-0.9750280	-0.8736759	-0.7589986	-0.6741149	-1.1163339	A104	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2751763
84	0.8225694	-1.0288480	0.1512706	1.3676416	-0.6741149	-0.8450132	A301	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.3463495
85	0.0168493	-0.8904536	-0.6745732	-0.7589986	0.4307274	-1.6944183	A165	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3556972
86	-0.5366611	-0.8904536	-0.7555993	-0.0501185	-0.6741149	-0.7331850	A142	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.4015662
87	0.6126177	-0.0817113	-0.6667822	-0.0501185	0.4307274	-1.3986542	A261	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3651749
88	0.3343904	-0.0817113	-0.6924924	-0.0501185	-0.6741149	-1.6366099	A215	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2500833
89	0.3305203	-0.9782808	-0.2940138	-0.0501185	-0.6741149	-0.8484916	A201	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.4182050
90	0.8693078	-0.8904536	-0.6467482	-0.3539243	2.6404120	-1.4466679	A343	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.5724049
91	0.8334330	-0.4860824	-0.6550957	1.3676416	0.4307274	-1.5868677	A345	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.7396201
92	0.4268397	-0.8904536	-0.7057371	-0.0501185	-0.6741149	-1.6271992	A187	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2915539
93	0.8575062	0.6794579	-0.6465256	-0.1210066	0.4307274	-1.4053761	A292	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.5715353
94	0.3234717	-0.9596508	-0.4443852	-0.0501185	0.4307274	-0.8902333	A226	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.4801580
95	2.4596730	0.6794579	0.2129491	-0.0501185	-0.6741149	-0.8676232	A337	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.4491331
96	-0.5366611	-0.8904536	-0.7555993	-0.0501185	-0.6741149	-0.7331850	A142	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.4015662
97	0.4887879	0.1720118	-0.7343040	-0.7589986	0.4307274	-1.5151673	A237	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3912334
98	-0.0460759	-0.0817113	-0.8264972	-0.7589986	-0.6741149	-0.8676232	A152	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2728139
99	0.6126177	-0.0817113	-0.6667822	-0.0501185	0.4307274	-1.3986542	A261	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.5128001
100	1.5474644	0.6794579	-0.3757335	1.3676416	0.4307274	-1.0222272	A370	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.4172149
101	-0.4639412	-0.9750280	-0.8736759	-0.7589986	-0.6741149	-1.1163339	A104	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3528035
102	-0.0460759	-0.0817113	-0.8264972	-0.7589986	-0.6741149	-0.8676232	A152	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2728139
103	0.4214176	-0.0817113	-0.3267060	-0.0501185	-0.6741149	-0.9240873	A228	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.4752752
104	1.5526376	0.6794579	-0.4507596	-0.3078931	0.4307274	-1.5917564	A330	C201	1.5745305	0.4514353	-0.2367672	0.2737663	-0.3026593	-1.3041998	0.3444185
105	0.6126177	-0.0817113	-0.6667822	-0.0501185	0.4307274	-1.3986542	A261	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3651749
106	-0.4639412	-0.9750280	-0.8736759	-0.7589986	-0.6741149	-1.1163339	A104	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2751763
107	1.3306764	-0.0817113	-0.6529316	-0.2864119	2.6404120	-1.5241299	A379	C142	0.1328959	0.6627507	0.4814828	-0.0248014	2.6404120	-0.9712527	0.6485241
108	0.6126177	-0.0817113	-0.6667822	-0.0501185	0.4307274	-1.3986542	A261	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3651749
109	-0.4928759	-0.9596508	-0.8792634	-0.7589986	-0.6741149	-0.6360229	A107	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2081843
110	-0.4928759	-0.9596508	-0.8792634	-0.7589986	-0.6741149	-0.6360229	A107	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2081843
111	-0.5804512	0.1524946	-0.8864278	-0.8680571	0.4307274	-0.5785811	A164	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.4378521
112	-1.0584347	-0.8904536	-1.1800129	-1.0248286	-0.6741149	-0.9919786	A33	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2366335
113	-0.6646474	-0.0817113	-0.3286537	-0.0501185	-0.6741149	-1.0087834	A193	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.4182836
114	0.6126177	-0.0817113	-0.6667822	-0.0501185	0.4307274	-1.3986542	A261	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.3651749
115	-0.4928759	-0.9596508	-0.8792634	-0.7589986	-0.6741149	-0.6360229	A107	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2081843
116	-0.8757931	-0.9221690	-0.7765051	-0.7589986	-0.6741149	-0.4127739	A93	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1581995
117	-0.4928759	-0.9596508	-0.8792634	-0.7589986	-0.6741149	-0.6360229	A107	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2081843
118	1.9539626	0.4891656	0.4161638	-0.0501185	2.6404120	0.2650188	A391	C142	0.1328959	0.6627507	0.4814828	-0.0248014	2.6404120	-0.9712527	0.5535932
119	0.3234717	-0.9596508	-0.4443852	-0.0501185	0.4307274	-0.8902333	A226	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.4763767
120	0.9704994	-0.9991921	0.0321799	1.3676416	0.4307274	-0.8320931	A340	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.4883103
121	0.0040334	0.6794579	-0.8646730	-0.7589986	-0.6741149	-0.8998884	A178	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.4277115
122	-1.3283923	-1.2234651	-1.1011292	-0.8476086	-0.6741149	-0.6189125	A28	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2159919
123	0.4056575	-0.8904536	0.2642397	-0.0501185	-0.6741149	-0.3410735	A217	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2819138
124	-0.5804512	0.1524946	-0.8864278	-0.8680571	0.4307274	-0.5785811	A164	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.5755009
125	-0.6607113	0.6794579	-0.7840010	-0.7912204	-0.6741149	-0.7325739	A150	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3435959
126	0.0040334	0.6794579	-0.8646730	-0.7589986	-0.6741149	-0.8998884	A178	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.5900352
127	-0.4928759	-0.9596508	-0.8792634	-0.7589986	-0.6741149	-0.6360229	A107	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2081843
128	-0.4928759	-0.9596508	-0.8792634	-0.7589986	-0.6741149	-0.6360229	A107	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2081843
129	1.2137055	-0.0817113	0.4117118	1.3676416	0.4307274	0.5948725	A347	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2946968
130	-0.5804512	0.1524946	-0.8864278	-0.8680571	0.4307274	-0.5785811	A164	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.4860201
131	-1.2334850	-0.9285121	-0.8494806	-0.8298866	0.4307274	-0.4562423	A86	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2671521
132	1.3306764	-0.0817113	-0.6529316	-0.2864119	2.6404120	-1.5241299	A379	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.6659147
133	-0.0460759	-0.0817113	-0.8264972	-0.7589986	-0.6741149	-0.8676232	A152	C404	0.0640661	-0.3965677	-0.7815408	-0.3982964	-0.4164485	-1.4161834	0.2728139
134	0.5095706	-0.0817113	0.3404800	-0.0501185	-0.6741149	-0.3039430	A248	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.3606492
135	0.2032743	-0.6593844	-0.7413530	-0.0501185	2.6404120	-0.7110987	A284	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3774762
136	-0.6607113	0.6794579	-0.7840010	-0.7912204	-0.6741149	-0.7325739	A150	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3435959
137	1.9539626	0.4891656	0.4161638	-0.0501185	2.6404120	0.2650188	A391	C142	0.1328959	0.6627507	0.4814828	-0.0248014	2.6404120	-0.9712527	0.5535932
138	0.7031087	0.3464464	-0.5221621	-0.1830336	0.4307274	-0.6189125	A263	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3878239
139	-1.3283923	-1.2234651	-1.1011292	-0.8476086	-0.6741149	-0.6189125	A28	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2159919
140	-1.3283923	-1.2234651	-1.1011292	-0.8476086	-0.6741149	-0.6189125	A28	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2159919
141	-0.4928759	-0.9596508	-0.8792634	-0.7589986	-0.6741149	-0.6360229	A107	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2081843
142	1.5474644	0.6794579	-0.3757335	1.3676416	0.4307274	-1.0222272	A370	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.5723827
143	-0.4928759	-0.9596508	-0.8792634	-0.7589986	-0.6741149	-0.6360229	A107	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2081843
144	1.3839800	0.6794579	-0.2133905	1.3676416	0.4307274	0.4177555	A355	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2780810
145	-0.6012604	-0.9919428	-0.7530023	-0.7589986	0.4307274	0.2405958	A119	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2075677
146	0.0864958	0.6794579	-0.5565955	-0.7589986	-0.6741149	0.0657621	A180	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.3640034
147	-0.0090328	0.6794579	-1.1541512	-0.9952920	-0.6741149	0.3341051	A140	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2789895
148	1.0951951	-0.8904536	0.1512706	1.3676416	-0.6741149	0.3624865	A291	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1568391
149	-0.7541281	-0.8904536	-0.7462502	-0.7589986	-0.6741149	0.3562127	A92	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1096523
150	-0.6811459	-0.0817113	-0.4568358	-0.7589986	0.4307274	0.7891509	A149	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2421214
151	-0.4755256	-0.8904536	-1.1926732	-1.1134387	-0.6741149	0.4081955	A64	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1604262
152	-0.7541281	-0.8904536	-0.7462502	-0.7589986	-0.6741149	0.3562127	A92	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1096523
153	-0.9079106	-0.8904536	-1.1926732	-1.1134387	-0.6741149	0.4152276	A45	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.2188587
154	-0.7541281	-0.8904536	-0.7462502	-0.7589986	-0.6741149	0.3562127	A92	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1096523
155	-1.0565257	-1.2710382	-1.1926732	-1.1134387	-0.6741149	0.4297056	A27	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2530982
156	-0.4504710	-0.0817113	-1.1926732	-1.1134387	-0.6741149	0.5667045	A91	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2250720
157	1.2278080	0.6794579	0.2280673	-0.0501185	0.4307274	0.5785479	A297	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.2799749
158	1.3482358	-0.8904536	-0.0590859	1.3676416	0.4307274	0.5170904	A322	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.3234904
159	0.4056575	-0.8904536	-0.4577243	-0.0501185	-0.6741149	0.4117805	A175	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2055440
160	1.0476095	-0.8904536	-0.4148739	-0.6014697	-0.6741149	0.6119441	A163	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.3822891
161	0.6386747	-0.0817113	-0.0496423	-0.0501185	-0.6741149	0.6753609	A221	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1591266
162	0.2385718	-0.0817113	-0.0911773	-0.0501185	0.4307274	0.6857784	A238	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1251137
163	-0.9079106	-0.8904536	-1.1926732	-1.1134387	-0.6741149	0.4152276	A45	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.2188587
164	-0.3106137	-0.8904536	-0.7430518	-0.7589986	-0.6741149	0.3752227	A109	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1005282
165	0.0864958	0.6794579	-0.5565955	-0.7589986	-0.6741149	0.0657621	A180	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3246661
166	-0.4629790	-1.2710382	-0.7767215	-0.7589986	-0.6741149	0.3938554	A87	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1023673
167	2.0420413	0.6794579	0.3833304	-0.1513871	-0.6741149	0.6889793	A300	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.2153877
168	0.7009785	0.6794579	0.1645152	-0.0501185	-0.6741149	0.6087773	A253	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1620490
169	0.9382121	-0.0817113	-0.3989673	-0.1387286	0.4307274	0.4305458	A252	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3033670
170	0.4056575	-0.8904536	-0.4577243	-0.0501185	-0.6741149	0.4117805	A175	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2055440
171	1.6324093	0.6794579	0.3912327	1.3676416	-0.6741149	0.2576247	A354	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2921574
172	-0.3106137	-0.8904536	-0.7430518	-0.7589986	-0.6741149	0.3752227	A109	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1005282
173	1.0254900	0.6794579	-0.2702624	-0.0501185	2.6404120	0.6065980	A357	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.4010508
174	1.3475142	0.6794579	-0.4096799	-0.2273386	0.4307274	0.9013597	A280	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3151982
175	1.6324093	0.6794579	0.3912327	1.3676416	-0.6741149	0.2576247	A354	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2921574
176	0.7009785	0.6794579	0.1645152	-0.0501185	-0.6741149	0.6087773	A253	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1620490
177	1.1483887	0.6794579	-0.2058160	-0.1176309	-0.6741149	0.7920486	A251	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2205290
178	-0.4629790	-1.2710382	-0.7767215	-0.7589986	-0.6741149	0.3938554	A87	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1023673
179	-1.2265311	-0.8904536	-0.8161657	-0.7589986	-0.6741149	0.2654571	A65	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1720500
180	-0.3584886	-0.8904536	-0.7100654	-0.0501185	0.4307274	0.2863048	A167	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.1993741
181	-0.0090328	0.6794579	-1.1541512	-0.9952920	-0.6741149	0.3341051	A140	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2789895
182	2.6765297	0.6794579	0.4359195	-0.2526557	0.4307274	0.2213263	A360	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.2913189
183	-0.7541281	-0.8904536	-0.7462502	-0.7589986	-0.6741149	0.3562127	A92	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1096523
184	2.6765297	0.6794579	0.4359195	-0.2526557	0.4307274	0.2213263	A360	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.2913189
185	1.4480598	-0.0817113	0.3157468	1.3676416	-0.6741149	0.3789178	A326	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.2978184
186	-1.1520648	-0.8904536	-0.8230887	-0.7589986	-0.6741149	1.0615652	A53	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1181741
187	-0.0848306	-0.8904536	0.0491677	-0.0501185	-0.6741149	1.0360927	A168	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1179686
188	0.8057229	-0.8904536	0.4547087	1.3676416	-0.6741149	0.8761820	A288	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1190206
189	2.0457525	0.3411605	-0.2123084	-0.0501185	2.6404120	1.1213155	A385	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.3477847
190	0.1813784	0.7650895	-0.0918080	-0.7589986	-0.6741149	0.8262983	A195	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2137512
191	-0.8298063	-1.2710382	-0.7779807	-0.7589986	-0.6741149	1.0065678	A56	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1839032
192	-0.8841020	-0.0817113	-1.1926732	-1.1134387	-0.6741149	0.9069613	A50	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3057798
193	-1.2281595	-0.0817113	-1.0500009	-0.8476086	-0.6741149	0.9405708	A51	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2196074
194	3.5450700	0.1221733	2.5085980	1.3676416	-0.6741149	0.4373878	A423	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	1.0024204
195	0.3965362	-0.9158259	0.0271343	-0.0501185	-0.6741149	0.8706629	A189	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1537663
196	0.4535729	0.6794579	0.0446083	-0.1176309	2.6404120	0.8554266	A336	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3884291
197	0.0510540	-0.0817113	-0.8112399	-0.7589986	-0.6741149	0.9013597	A128	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2490415
198	-0.1681737	-1.2076074	-1.0225702	-0.7589986	2.6404120	1.3237197	A1	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.4793866
199	0.0881756	0.6794579	-0.3610888	-0.0501185	0.4307274	0.6504673	A247	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1174805
200	-1.3233935	-1.0288480	-1.1926732	-1.1134387	0.4307274	0.8806847	A15	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.4527420
201	-0.7842712	-0.8904536	-0.7624999	-0.7589986	-0.6741149	0.9636174	A72	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1732465
202	1.0254900	0.6794579	-0.2702624	-0.0501185	2.6404120	0.6065980	A357	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.3853183
203	1.2278080	0.6794579	0.2280673	-0.0501185	0.4307274	0.5785479	A297	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.2216198
204	2.1689087	-0.6208728	0.1019277	-0.0501185	-0.5513546	0.6463005	A257	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.3983925
205	0.8732664	-1.2710382	0.4606837	1.3676416	-0.6741149	0.8637490	A290	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1763845
206	0.0881756	0.6794579	-0.3610888	-0.0501185	0.4307274	0.6504673	A247	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1174805
207	-1.3233935	-1.0288480	-1.1926732	-1.1134387	0.4307274	0.8806847	A15	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2792940
208	1.2131488	-0.8904536	0.4560926	1.3676416	-0.6741149	0.8607481	A299	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1683354
209	-2.0703607	-0.8904536	-1.1809868	-1.1134387	-0.6741149	0.9002393	A5	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2703983
210	0.8057229	-0.8904536	0.4547087	1.3676416	-0.6741149	0.8761820	A288	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1190206
211	-0.6561212	-0.9197293	-1.1926732	-1.1134387	-0.6741149	0.8247471	A48	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1899908
212	0.1549190	0.6794579	-0.8358753	-0.7589986	-0.6741149	0.8126055	A155	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2151435
213	-1.0177696	-0.8904536	-1.1926732	-1.1134387	-0.6741149	0.9667509	A32	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1923291
214	0.8732664	-1.2710382	0.4606837	1.3676416	-0.6741149	0.8637490	A290	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1763845
215	-0.9885099	-0.8904536	-1.1637353	-0.7589986	-0.6741149	1.0327570	A47	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1684836
216	-0.0967046	-1.2710382	0.0764772	-0.0501185	-0.6741149	0.9145794	A159	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1449521
217	2.7513994	0.6794579	-0.0893841	-0.2864119	2.6404120	0.4416556	A394	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.3436499
218	2.5553115	0.6794579	-0.0378771	1.3676416	2.6404120	0.5917783	A413	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.2301713
219	-0.9484291	0.6794579	-1.1320149	-0.9615358	-0.6741149	1.0327570	A67	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2697295
220	1.4932812	-0.0817113	0.4600766	1.3676416	-0.6741149	0.8880177	A333	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.3325528
221	-0.3081847	0.6794579	-0.7808971	-0.7589986	-0.6741149	0.9619228	A137	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.1720088
222	3.5450700	0.1221733	2.5085980	1.3676416	-0.6741149	0.4373878	A423	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.8451867
223	0.9595457	-0.8904536	0.4558270	1.3676416	0.4307274	0.7242475	A323	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.2184596
224	-0.3341460	-0.8904536	-0.4375976	-0.0501185	0.4307274	0.9383302	A172	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.1615618
225	1.2131488	-0.8904536	0.4560926	1.3676416	-0.6741149	0.8607481	A299	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1683354
226	0.0510540	-0.0817113	-0.8112399	-0.7589986	-0.6741149	0.9013597	A128	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2490415
227	-0.7842712	-0.8904536	-0.7624999	-0.7589986	-0.6741149	0.9636174	A72	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1432533
228	-0.8901388	-1.0426874	-0.9441410	-0.0501185	-0.6741149	1.0212337	A79	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.2807617
229	1.2278080	0.6794579	0.2280673	-0.0501185	0.4307274	0.5785479	A297	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.2799749
230	-0.3341460	-0.8904536	-0.4375976	-0.0501185	0.4307274	0.9383302	A172	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.1615618
231	1.4932812	-0.0817113	0.4600766	1.3676416	-0.6741149	0.8880177	A333	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.3325528
232	-0.2759836	0.7329776	-0.7474513	-0.8180720	0.4307274	0.9747405	A173	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3944682
233	-0.4577834	-0.8904536	-0.7650351	-0.7589986	-0.6741149	0.9988274	A88	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1126582
234	2.0420413	0.6794579	0.3833304	-0.1513871	-0.6741149	0.6889793	A300	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.2153877
235	-0.4504710	-0.0817113	-1.1926732	-1.1134387	-0.6741149	0.5667045	A91	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2250720
236	0.4344068	-0.8904536	-0.3372238	-0.0501185	2.6404120	0.6763997	A255	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.1847267
237	0.4436627	0.7508175	0.0755249	-0.0501185	-0.6741149	1.0526027	A239	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1731988
238	0.2385718	-0.0817113	-0.0911773	-0.0501185	0.4307274	0.6857784	A238	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1251137
239	-0.2212849	-0.8904536	-1.1420319	-0.7589986	-0.6741149	0.3288769	A98	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1485059
240	0.2054516	-0.8904536	0.0490529	-0.0501185	-0.6741149	0.5157460	A188	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.0703859
241	-1.0565257	-1.2710382	-1.1926732	-1.1134387	-0.6741149	0.4297056	A27	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2530982
242	0.9382121	-0.0817113	-0.3989673	-0.1387286	0.4307274	0.4305458	A252	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3033670
243	-0.7790271	0.6794579	-0.8397080	-0.7589986	-0.6741149	0.4139237	A125	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.1683181
244	0.6386747	-0.0817113	-0.0496423	-0.0501185	-0.6741149	0.6753609	A221	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1591266
245	-1.2454062	-0.0817113	-0.7966318	-0.7589986	-0.6741149	0.3837725	A94	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2905631
246	-0.1182833	0.6794579	-0.7867222	-0.8336176	0.4307274	0.3660243	A197	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3373101
247	-0.5730740	-1.2710382	-1.1420319	-0.7589986	-0.6741149	0.4364275	A60	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1279561
248	-0.6811459	-0.0817113	-0.4568358	-0.7589986	0.4307274	0.7891509	A149	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2421214
249	0.2054516	-0.8904536	0.0490529	-0.0501185	-0.6741149	0.5157460	A188	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.0703859
250	-1.3495502	-0.9411982	-0.6278273	-0.8062573	0.4307274	0.4279131	A76	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.3235580
251	0.1416116	-0.0817113	-0.7464899	-0.4863524	0.4307274	0.6654895	A191	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.2775415
252	-0.9079106	-0.8904536	-1.1926732	-1.1134387	-0.6741149	0.4152276	A45	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.2188587
253	-0.4629790	-1.2710382	-0.7767215	-0.7589986	-0.6741149	0.3938554	A87	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1023673
254	3.3579440	0.6794579	-0.2687930	1.3676416	2.6404120	-0.2245604	A426	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.5282927
255	-1.0908643	-1.2710382	-0.8132526	-0.7589986	-0.6741149	0.5291899	A55	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1617288
256	0.4056575	-0.8904536	-0.4577243	-0.0501185	-0.6741149	0.4117805	A175	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2055440
257	-0.3106137	-0.8904536	-0.7430518	-0.7589986	-0.6741149	0.3752227	A109	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1005282
258	0.1702448	-0.0817113	-0.7719604	-0.7589986	-0.6741149	0.2654989	A147	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3017512
259	0.4609046	-0.8904536	-0.2850242	-0.7589986	-0.6741149	0.7523573	A144	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2951347
260	-0.2212849	-0.8904536	-1.1420319	-0.7589986	-0.6741149	0.3288769	A98	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1485059
261	1.3839800	0.6794579	-0.2133905	1.3676416	0.4307274	0.4177555	A355	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2780810
262	0.4344068	-0.8904536	-0.3372238	-0.0501185	2.6404120	0.6763997	A255	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.1847267
263	-0.9297833	-0.9942494	-1.1926732	-1.1134387	0.4307274	0.3722638	A40	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.3731131
264	0.1702448	-0.0817113	-0.7719604	-0.7589986	-0.6741149	0.2654989	A147	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3017512
265	-1.2463570	-1.2710382	-1.1310328	-0.7589986	-0.6741149	0.4043996	A36	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1805038
266	-0.7790271	0.6794579	-0.8397080	-0.7589986	-0.6741149	0.4139237	A125	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.1683181
267	-1.9930031	-0.8904536	-0.9628394	-1.1134387	-0.6741149	0.1796505	A14	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.3274694
268	-0.4755256	-0.8904536	-1.1926732	-1.1134387	-0.6741149	0.4081955	A64	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1604262
269	0.6386747	-0.0817113	-0.0496423	-0.0501185	-0.6741149	0.6753609	A221	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1591266
270	2.7513994	0.6794579	-0.0893841	-0.2864119	2.6404120	0.4416556	A394	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.3436499
271	1.2137055	-0.0817113	0.4117118	1.3676416	0.4307274	0.5948725	A347	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2946968
272	1.4283355	-0.8904536	0.4103206	1.3676416	-0.6741149	0.4633151	A309	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1523828
273	0.7236027	-1.2393228	0.2992991	1.3676416	-0.6741149	0.3232753	A285	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1785369
274	-0.7541281	-0.8904536	-0.7462502	-0.7589986	-0.6741149	0.3562127	A92	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1096523
275	1.3839800	0.6794579	-0.2133905	1.3676416	0.4307274	0.4177555	A355	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2780810
276	0.9382121	-0.0817113	-0.3989673	-0.1387286	0.4307274	0.4305458	A252	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3033670
277	0.9382121	-0.0817113	-0.3989673	-0.1387286	0.4307274	0.4305458	A252	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3033670
278	1.4480598	-0.0817113	0.3157468	1.3676416	-0.6741149	0.3789178	A326	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.2978184
279	1.6324093	0.6794579	0.3912327	1.3676416	-0.6741149	0.2576247	A354	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2921574
280	-0.0090328	0.6794579	-1.1541512	-0.9952920	-0.6741149	0.3341051	A140	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2789895
281	1.6531919	0.6794579	0.3945222	1.3676416	0.4307274	-0.0094593	A373	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3027981
282	0.6013605	-1.0807459	0.3733134	1.3676416	0.4307274	0.2532554	A315	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.2870011
283	1.4480598	-0.0817113	0.3157468	1.3676416	-0.6741149	0.3789178	A326	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.2978184
284	-0.7541281	-0.8904536	-0.7462502	-0.7589986	-0.6741149	0.3562127	A92	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1096523
285	0.9750146	-0.9221690	0.4473277	1.3676416	-0.6741149	0.4185024	A294	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.0926658
286	-0.4117922	-0.8904536	-0.2850242	-0.0501185	0.4307274	0.5462187	A181	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.1248319
287	5.5095223	0.6794579	3.0650965	4.2031619	2.6404120	0.4969247	A440	B12	5.5095223	0.6794579	3.0650965	4.2031619	2.6404120	0.4969247	0.0000000
288	-0.1760634	-0.9750280	-0.8459747	-0.7589986	0.4307274	0.6806569	A122	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2012773
289	-0.2814060	-1.0535613	-0.7853164	-0.7589986	2.6404120	0.5286137	A11	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3225882
290	0.5858457	0.6794579	0.2072682	-0.0796552	0.4307274	0.7551581	A277	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1683594
291	-1.0432375	-1.2710382	-1.1081411	-0.7589986	-0.6741149	0.9096500	A39	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1432464
292	0.2385718	-0.0817113	-0.0911773	-0.0501185	0.4307274	0.6857784	A238	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1251137
293	-0.0848306	-0.8904536	0.0491677	-0.0501185	-0.6741149	1.0360927	A168	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1179686
294	2.2726294	0.6794579	3.7273297	-0.2273386	-0.3979043	0.6750553	A410	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.7587667
295	-1.4998883	-0.8904536	-0.7531912	-0.7589986	-0.6741149	0.6179191	A54	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1546192
296	0.8732664	-1.2710382	0.4606837	1.3676416	-0.6741149	0.8637490	A290	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1763845
297	0.3965362	-0.9158259	0.0271343	-0.0501185	-0.6741149	0.8706629	A189	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1537663
298	-0.7790271	0.6794579	-0.8397080	-0.7589986	-0.6741149	0.4139237	A125	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.1683181
299	-1.2106241	-1.2710382	-1.1926732	-1.1134387	-0.6741149	0.9685788	A18	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1741589
300	-0.0718479	-0.8904536	-0.7613869	-0.7589986	-0.6741149	0.9809023	A106	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1746013
301	0.8732664	-1.2710382	0.4606837	1.3676416	-0.6741149	0.8637490	A290	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1763845
302	0.2269269	-1.1949213	-1.0547729	-0.7589986	-0.6741149	0.7738674	A97	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.2270334
303	0.0510540	-0.0817113	-0.8112399	-0.7589986	-0.6741149	0.9013597	A128	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2490415
304	-0.8298063	-1.2710382	-0.7779807	-0.7589986	-0.6741149	1.0065678	A56	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1839032
305	-0.2759836	0.7329776	-0.7474513	-0.8180720	0.4307274	0.9747405	A173	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3944682
306	-0.1611019	0.6794579	-1.1926732	-1.1134387	-0.6741149	0.8683103	A114	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2593842
307	0.3965362	-0.9158259	0.0271343	-0.0501185	-0.6741149	0.8706629	A189	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1537663
308	1.5436391	0.6794579	0.4653069	1.3676416	-0.6741149	0.8743858	A353	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2459232
309	0.8229551	-0.1625855	-0.0929766	-0.1210066	2.6404120	0.7079927	A320	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.2615865
310	-0.6516583	-0.8904536	-1.1439796	-0.7589986	-0.6741149	0.9405708	A61	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1462413
311	-1.2106241	-1.2710382	-1.1926732	-1.1134387	-0.6741149	0.9685788	A18	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1741589
312	0.3965362	-0.9158259	0.0271343	-0.0501185	-0.6741149	0.8706629	A189	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1537663
313	0.5858457	0.6794579	0.2072682	-0.0796552	0.4307274	0.7551581	A277	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1683594
314	-1.6648110	-1.2710382	-0.8420792	-0.7589986	-0.6741149	0.8431031	A22	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1434286
315	0.0510540	-0.0817113	-0.8112399	-0.7589986	-0.6741149	0.9013597	A128	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2490415
316	0.0510540	-0.0817113	-0.8112399	-0.7589986	-0.6741149	0.9013597	A128	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2490415
317	0.4609046	-0.8904536	-0.2850242	-0.7589986	-0.6741149	0.7523573	A144	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2951347
318	-0.6811459	-0.0817113	-0.4568358	-0.7589986	0.4307274	0.7891509	A149	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2421214
319	-0.6081447	-0.8904536	-0.2071145	-0.7589986	0.4307274	0.6246410	A141	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.1189319
320	1.5436391	0.6794579	0.4653069	1.3676416	-0.6741149	0.8743858	A353	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2459232
321	1.5436391	0.6794579	0.4653069	1.3676416	-0.6741149	0.8743858	A353	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2459232
322	0.8057229	-0.8904536	0.4547087	1.3676416	-0.6741149	0.8761820	A288	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1190206
323	0.8818296	0.6794579	-0.5057686	-0.1682652	0.4307274	0.5073810	A262	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.2274800
324	0.0881756	0.6794579	-0.3610888	-0.0501185	0.4307274	0.6504673	A247	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1174805
325	-1.2106241	-1.2710382	-1.1926732	-1.1134387	-0.6741149	0.9685788	A18	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1741589
326	-0.7573899	-0.0817113	-0.1424493	-0.7235546	-0.6741149	0.7422744	A132	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2910648
327	-0.0848306	-0.8904536	0.0491677	-0.0501185	-0.6741149	1.0360927	A168	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1179686
328	-0.5420684	0.6794579	-1.1827181	-1.0740564	-0.6741149	1.0122712	A95	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2257924
329	-0.2814060	-1.0535613	-0.7853164	-0.7589986	2.6404120	0.5286137	A11	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3225882
330	2.0649269	0.6250887	0.3146029	-0.2526557	0.4307274	0.9876242	A329	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.1679589
331	-1.4998883	-0.8904536	-0.7531912	-0.7589986	-0.6741149	0.6179191	A54	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1546192
332	-0.6183813	0.6794579	-0.1470126	-0.7589986	-0.6741149	0.8387819	A154	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2450028
333	0.4056575	-0.8904536	-0.4577243	-0.0501185	-0.6741149	0.4117805	A175	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2055440
334	-0.3511762	-0.8904536	-0.7914378	-0.7589986	-0.6741149	0.7568386	A99	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.0856941
335	1.4932812	-0.0817113	0.4600766	1.3676416	-0.6741149	0.8880177	A333	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.3325528
336	1.3583733	0.6794579	0.1774644	1.3676416	0.4307274	0.7741456	A359	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.1748676
337	-0.7137175	-0.8904536	-0.7533486	-0.7589986	-0.6741149	0.7598261	A83	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.0990544
338	-0.0718479	-0.8904536	-0.7613869	-0.7589986	-0.6741149	0.9809023	A106	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1746013
339	-1.2786672	-1.2710382	-0.8205042	-0.7589986	-0.6741149	1.0336434	A35	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1091547
340	0.4609046	-0.8904536	-0.2850242	-0.7589986	-0.6741149	0.7523573	A144	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.3046963
341	-1.2786672	-1.2710382	-0.8205042	-0.7589986	-0.6741149	1.0336434	A35	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1091547
342	-1.5257791	-1.2710382	-0.8290942	-0.7589986	-0.6741149	0.4087930	A37	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1948058
343	-1.0908643	-1.2710382	-0.8132526	-0.7589986	-0.6741149	0.5291899	A55	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1617288
344	-0.5730740	-1.2710382	-1.1420319	-0.7589986	-0.6741149	0.4364275	A60	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1279561
345	-0.4504710	-0.0817113	-1.1926732	-1.1134387	-0.6741149	0.5667045	A91	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2250720
346	2.5553115	0.6794579	-0.0378771	1.3676416	2.6404120	0.5917783	A413	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.2301713
347	-0.4780113	0.6794579	-0.0952910	-0.1335162	0.4307274	0.5989396	A233	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1657750
348	-0.6183813	0.6794579	-0.1470126	-0.7589986	-0.6741149	0.8387819	A154	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2450028
349	0.1702448	-0.0817113	-0.7719604	-0.7589986	-0.6741149	0.2654989	A147	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3017512
350	-0.2212849	-0.8904536	-1.1420319	-0.7589986	-0.6741149	0.3288769	A98	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1485059
351	-1.2463570	-1.2710382	-1.1310328	-0.7589986	-0.6741149	0.4043996	A36	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.2436748
352	0.5858457	0.6794579	0.2072682	-0.0796552	0.4307274	0.7551581	A277	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1683594
353	0.1433556	-0.8904536	-0.8431416	-0.7589986	-0.6741149	0.4199283	A118	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1520572
354	0.7009785	0.6794579	0.1645152	-0.0501185	-0.6741149	0.6087773	A253	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1620490
355	-0.4977567	0.6794579	-1.1845281	-1.0812168	-0.6741149	0.4834809	A112	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.1920232
356	0.0881756	0.6794579	-0.3610888	-0.0501185	0.4307274	0.6504673	A247	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1174805
357	0.1433556	-0.8904536	-0.8431416	-0.7589986	-0.6741149	0.4199283	A118	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1520572
358	-0.4629790	-1.2710382	-0.7767215	-0.7589986	-0.6741149	0.3938554	A87	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1023673
359	-0.7541281	-0.8904536	-0.7462502	-0.7589986	-0.6741149	0.3562127	A92	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1096523
360	0.8229551	-0.1625855	-0.0929766	-0.1210066	2.6404120	0.7079927	A320	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.2615865
361	-1.0908643	-1.2710382	-0.8132526	-0.7589986	-0.6741149	0.5291899	A55	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1617288
362	1.4480598	-0.0817113	0.3157468	1.3676416	-0.6741149	0.3789178	A326	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.2978184
363	-0.3091387	-1.2710382	0.1222315	-0.0501185	-0.6741149	0.5824763	A160	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1326330
364	0.9382121	-0.0817113	-0.3989673	-0.1387286	0.4307274	0.4305458	A252	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3033670
365	-0.6811459	-0.0817113	-0.4568358	-0.7589986	0.4307274	0.7891509	A149	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2421214
366	2.3730787	0.6794579	0.3600688	1.3676416	-0.6741149	0.6797607	A368	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3415720
367	0.4056575	-0.8904536	-0.4577243	-0.0501185	-0.6741149	0.4117805	A175	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2055440
368	-0.3106137	-0.8904536	-0.7430518	-0.7589986	-0.6741149	0.3752227	A109	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1005282
369	0.1433556	-0.8904536	-0.8431416	-0.7589986	-0.6741149	0.4199283	A118	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1520572
370	0.4077890	0.6794579	-0.7590753	-0.7589986	-0.6741149	0.3966131	A179	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2893265
371	-0.6081447	-0.8904536	-0.2071145	-0.7589986	0.4307274	0.6246410	A141	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.1189319
372	-0.0090328	0.6794579	-1.1541512	-0.9952920	-0.6741149	0.3341051	A140	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2789895
373	2.0649269	0.6250887	0.3146029	-0.2526557	0.4307274	0.9876242	A329	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.1679589
374	-1.3233935	-1.0288480	-1.1926732	-1.1134387	0.4307274	0.8806847	A15	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2792940
375	-1.0908643	-1.2710382	-0.8132526	-0.7589986	-0.6741149	0.5291899	A55	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1617288
376	0.1702448	-0.0817113	-0.7719604	-0.7589986	-0.6741149	0.2654989	A147	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3017512
377	-0.3091387	-1.2710382	0.1222315	-0.0501185	-0.6741149	0.5824763	A160	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1326330
378	0.0881756	0.6794579	-0.3610888	-0.0501185	0.4307274	0.6504673	A247	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1174805
379	0.2054516	-0.8904536	0.0490529	-0.0501185	-0.6741149	0.5157460	A188	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.0703859
380	0.8818296	0.6794579	-0.5057686	-0.1682652	0.4307274	0.5073810	A262	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.2274800
381	-1.2294343	-0.8904536	-0.7529158	-0.7589986	-0.6741149	0.6522755	A63	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1176381
382	0.8732664	-1.2710382	0.4606837	1.3676416	-0.6741149	0.8637490	A290	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1763845
383	-1.2294343	-0.8904536	-0.7529158	-0.7589986	-0.6741149	0.6522755	A63	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1176381
384	-1.0565257	-1.2710382	-1.1926732	-1.1134387	-0.6741149	0.4297056	A27	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.2771653
385	-0.8323928	0.1901349	-1.1640136	-1.0881215	0.4307274	0.9520941	A68	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3979884
386	-0.5730740	-1.2710382	-1.1420319	-0.7589986	-0.6741149	0.4364275	A60	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1279561
387	0.2028695	-0.8904536	0.4696383	-0.0501185	-0.6741149	0.6778052	A202	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1595112
388	-0.2034712	-0.8904536	-0.1047187	-0.7589986	-0.6741149	0.6851382	A127	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.2128148
389	-0.5470524	-1.2710382	-1.1470960	-0.7589986	-0.6741149	0.8168876	A57	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1446629
390	-1.0908643	-1.2710382	-0.8132526	-0.7589986	-0.6741149	0.5291899	A55	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1648589
391	-0.3511762	-0.8904536	-0.7914378	-0.7589986	-0.6741149	0.7568386	A99	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.0856941
392	2.5553115	0.6794579	-0.0378771	1.3676416	2.6404120	0.5917783	A413	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.2301713
393	0.2385718	-0.0817113	-0.0911773	-0.0501185	0.4307274	0.6857784	A238	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1251137
394	0.7009785	0.6794579	0.1645152	-0.0501185	-0.6741149	0.6087773	A253	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1620490
395	-0.7189131	-1.2710382	-0.8063705	-0.7589986	-0.6741149	0.6851382	A70	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1145857
396	0.4609046	-0.8904536	-0.2850242	-0.7589986	-0.6741149	0.7523573	A144	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2951347
397	5.5095223	0.6794579	3.0650965	4.2031619	2.6404120	0.4969247	A440	B12	5.5095223	0.6794579	3.0650965	4.2031619	2.6404120	0.4969247	0.0000000
398	0.9864884	-0.0817113	0.4473277	1.3676416	-0.6741149	0.7153868	A314	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.2171907
399	1.3668536	-0.8904536	3.7273297	-0.1918946	-0.4531464	0.7039595	A390	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.9307686
400	0.2028695	-0.8904536	0.4696383	-0.0501185	-0.6741149	0.6778052	A202	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1595112
401	0.8732664	-1.2710382	0.4606837	1.3676416	-0.6741149	0.8637490	A290	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1763845
402	-0.2720868	-1.2710382	-0.8070198	-0.7589986	-0.6741149	0.8091201	A84	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1409427
403	-0.7986953	-0.8904536	-0.1572522	-0.7589986	-0.6741149	0.6716944	A108	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1978781
404	-0.8547391	-0.9665705	-0.7144630	-0.7589986	0.4307274	0.8400110	A101	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2186994
405	0.1433556	-0.8904536	-0.8431416	-0.7589986	-0.6741149	0.4199283	A118	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1520572
406	-0.0967046	-1.2710382	0.0764772	-0.0501185	-0.6741149	0.9145794	A159	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1449521
407	-0.0718479	-0.8904536	-0.7613869	-0.7589986	-0.6741149	0.9809023	A106	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1746013
408	0.3965362	-0.9158259	0.0271343	-0.0501185	-0.6741149	0.8706629	A189	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1537663
409	-0.8547391	-0.9665705	-0.7144630	-0.7589986	0.4307274	0.8400110	A101	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2186994
410	0.5858457	0.6794579	0.2072682	-0.0796552	0.4307274	0.7551581	A277	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1683594
411	1.3839800	0.6794579	-0.2133905	1.3676416	0.4307274	0.4177555	A355	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2780810
412	1.3475142	0.6794579	-0.4096799	-0.2273386	0.4307274	0.9013597	A280	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3151982
413	-0.6811459	-0.0817113	-0.4568358	-0.7589986	0.4307274	0.7891509	A149	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2421214
414	-0.3511762	-0.8904536	-0.7914378	-0.7589986	-0.6741149	0.7568386	A99	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.0856941
415	3.5450700	0.1221733	2.5085980	1.3676416	-0.6741149	0.4373878	A423	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	1.0267487
416	0.4344068	-0.8904536	-0.3372238	-0.0501185	2.6404120	0.6763997	A255	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.1847267
417	0.5858457	0.6794579	0.2072682	-0.0796552	0.4307274	0.7551581	A277	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1683594
418	0.4609046	-0.8904536	-0.2850242	-0.7589986	-0.6741149	0.7523573	A144	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2951347
419	-1.2294343	-0.8904536	-0.7529158	-0.7589986	-0.6741149	0.6522755	A63	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1176381
420	0.1813784	0.7650895	-0.0918080	-0.7589986	-0.6741149	0.8262983	A195	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2137512
421	-1.3233935	-1.0288480	-1.1926732	-1.1134387	0.4307274	0.8806847	A15	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2792940
422	1.0254900	0.6794579	-0.2702624	-0.0501185	2.6404120	0.6065980	A357	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.3853183
423	-0.1611019	0.6794579	-1.1926732	-1.1134387	-0.6741149	0.8683103	A114	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2593842
424	-0.0848306	-0.8904536	0.0491677	-0.0501185	-0.6741149	1.0360927	A168	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1179686
425	-0.2759836	0.7329776	-0.7474513	-0.8180720	0.4307274	0.9747405	A173	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3944682
426	-0.6561212	-0.9197293	-1.1926732	-1.1134387	-0.6741149	0.8247471	A48	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1899908
427	0.2385718	-0.0817113	-0.0911773	-0.0501185	0.4307274	0.6857784	A238	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1251137
428	3.5450700	0.1221733	2.5085980	1.3676416	-0.6741149	0.4373878	A423	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.8451867
429	1.2137055	-0.0817113	0.4117118	1.3676416	0.4307274	0.5948725	A347	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2946968
430	-1.2754255	-0.8904536	-1.1926732	-1.1134387	-0.6741149	0.5988737	A31	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1763083
431	-0.7790271	0.6794579	-0.8397080	-0.7589986	-0.6741149	0.4139237	A125	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.1683181
432	-1.0908643	-1.2710382	-0.8132526	-0.7589986	-0.6741149	0.5291899	A55	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1648589
433	-0.2759836	0.7329776	-0.7474513	-0.8180720	0.4307274	0.9747405	A173	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3317691
434	-0.6319890	-0.8904536	-0.7914378	-0.7589986	-0.6741149	0.5795082	A90	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.0490318
435	-1.6648110	-1.2710382	-0.8420792	-0.7589986	-0.6741149	0.8431031	A22	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1434286
436	-1.3969100	-1.2710382	-1.1473882	-0.7589986	-0.6741149	0.8078131	A26	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1329525
437	-1.2294343	-0.8904536	-0.7529158	-0.7589986	-0.6741149	0.6522755	A63	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1176381
438	2.6765297	0.6794579	0.4359195	-0.2526557	0.4307274	0.2213263	A360	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.2913189
439	-0.9304917	-0.8904536	-1.1420319	-0.7589986	-0.6741149	0.6851382	A59	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1498168
440	0.2385718	-0.0817113	-0.0911773	-0.0501185	0.4307274	0.6857784	A238	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1251137
441	-0.7189131	-1.2710382	-0.8063705	-0.7589986	-0.6741149	0.6851382	A70	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1145857
442	-1.0612491	-1.0807459	-0.3831906	-0.0501185	-0.6741149	0.6044753	A115	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2902875
443	-0.5470524	-1.2710382	-1.1470960	-0.7589986	-0.6741149	0.8168876	A57	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1446629
444	2.2726294	0.6794579	3.7273297	-0.2273386	-0.3979043	0.6750553	A410	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	1.0359266
445	-0.2814060	-1.0535613	-0.7853164	-0.7589986	2.6404120	0.5286137	A11	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3225882
446	-1.3969100	-1.2710382	-1.1473882	-0.7589986	-0.6741149	0.8078131	A26	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1329525
447	1.3839800	0.6794579	-0.2133905	1.3676416	0.4307274	0.4177555	A355	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2780810
448	-0.4504710	-0.0817113	-1.1926732	-1.1134387	-0.6741149	0.5667045	A91	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2250720
449	0.8057229	-0.8904536	0.4547087	1.3676416	-0.6741149	0.8761820	A288	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1190206
450	0.8818296	0.6794579	-0.5057686	-0.1682652	0.4307274	0.5073810	A262	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.2274800
451	0.0510540	-0.0817113	-0.8112399	-0.7589986	-0.6741149	0.9013597	A128	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2490415
452	-0.9304917	-0.8904536	-1.1420319	-0.7589986	-0.6741149	0.6851382	A59	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1498168
453	-0.3511762	-0.8904536	-0.7914378	-0.7589986	-0.6741149	0.7568386	A99	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.0856941
454	-0.1182833	0.6794579	-0.7867222	-0.8336176	0.4307274	0.3660243	A197	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3634569
455	-1.0565257	-1.2710382	-1.1926732	-1.1134387	-0.6741149	0.4297056	A27	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2530982
456	0.9640172	0.6033410	-0.6352287	-0.7589986	-0.6741149	-0.0421726	A209	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.4215370
457	0.4056575	-0.8904536	0.2642397	-0.0501185	-0.6741149	-0.3410735	A217	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2819138
458	-0.6279629	-0.0817113	-0.9809003	-0.9201077	-0.6741149	-0.2987051	A113	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3149710
459	0.9595457	-0.8904536	0.4558270	1.3676416	0.4307274	0.7242475	A323	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.2184596
460	1.1254721	-0.9855997	0.4473277	1.3676416	-0.6741149	-0.0811597	A310	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.2115909
461	2.5553115	0.6794579	-0.0378771	1.3676416	2.6404120	0.5917783	A413	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.2301713
462	-0.9297833	-0.9942494	-1.1926732	-1.1134387	0.4307274	0.3722638	A40	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.5544092
463	0.1133686	0.6794579	0.1407827	-0.0501185	2.6404120	-0.3893334	A344	C142	0.1328959	0.6627507	0.4814828	-0.0248014	2.6404120	-0.9712527	0.1640285
464	0.5095706	-0.0817113	0.3404800	-0.0501185	-0.6741149	-0.3039430	A248	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.3606492
465	0.1702448	-0.0817113	-0.7719604	-0.7589986	-0.6741149	0.2654989	A147	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3017512
466	0.0864958	0.6794579	-0.5565955	-0.7589986	-0.6741149	0.0657621	A180	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.3640034
467	-0.0610855	-0.7749190	-0.0064968	-0.1513871	2.6404120	0.6150383	A249	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.2098065
468	-0.4755256	-0.8904536	-1.1926732	-1.1134387	-0.6741149	0.4081955	A64	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1604262
469	0.4884993	-0.8904536	-0.6382153	-0.7589986	-0.6741149	-0.1707851	A145	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.3421878
470	0.4884993	-0.8904536	-0.6382153	-0.7589986	-0.6741149	-0.1707851	A145	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.4406299
471	-1.4495377	-1.2329797	-1.1646257	-0.8298866	-0.6741149	-0.0986366	A23	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2775139
472	0.1702448	-0.0817113	-0.7719604	-0.7589986	-0.6741149	0.2654989	A147	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3017512
473	0.3091667	0.6250887	0.1409753	-0.0501185	0.4307274	0.0696032	A273	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1881152
474	-0.8439641	-0.9490051	-1.1582131	-0.9771156	-0.6741149	-0.0811597	A58	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.2527097
475	-1.0278237	-0.5669567	-0.2203591	-0.7589986	0.4307274	-0.1188024	A148	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.3385092
476	0.0506211	-1.0331728	0.1989903	-0.0501185	-0.6741149	-0.0660354	A199	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1675566
477	-1.0278237	-0.5669567	-0.2203591	-0.7589986	0.4307274	-0.1188024	A148	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.3385092
478	0.9640172	0.6033410	-0.6352287	-0.7589986	-0.6741149	-0.0421726	A209	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.4215370
479	-0.8439641	-0.9490051	-1.1582131	-0.9771156	-0.6741149	-0.0811597	A58	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.2527097
480	1.6324093	0.6794579	0.3912327	1.3676416	-0.6741149	0.2576247	A354	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2921574
481	-0.9257291	-0.8904536	-0.0357129	-0.7589986	-0.6741149	0.0073455	A117	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3125706
482	1.6531919	0.6794579	0.3945222	1.3676416	0.4307274	-0.0094593	A373	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3027981
483	0.5095706	-0.0817113	0.3404800	-0.0501185	-0.6741149	-0.3039430	A248	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.3606492
484	1.2278080	0.6794579	0.2280673	-0.0501185	0.4307274	0.5785479	A297	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.2216198
485	1.3839800	0.6794579	-0.2133905	1.3676416	0.4307274	0.4177555	A355	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2780810
486	-0.4220392	-1.0014574	-0.7119049	-0.7589986	-0.6741149	-0.0733174	A110	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1529254
487	-0.8757931	-0.9221690	-0.7765051	-0.7589986	-0.6741149	-0.4127739	A93	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.2477658
488	-0.8439641	-0.9490051	-1.1582131	-0.9771156	-0.6741149	-0.0811597	A58	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.2527097
489	-1.4495377	-1.2329797	-1.1646257	-0.8298866	-0.6741149	-0.0986366	A23	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2775139
490	0.1133686	0.6794579	0.1407827	-0.0501185	2.6404120	-0.3893334	A344	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.5203457
491	0.0506211	-1.0331728	0.1989903	-0.0501185	-0.6741149	-0.0660354	A199	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1675566
492	0.0506211	-1.0331728	0.1989903	-0.0501185	-0.6741149	-0.0660354	A199	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1675566
493	0.1549190	0.6794579	-0.8358753	-0.7589986	-0.6741149	0.8126055	A155	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2151435
494	1.3583733	0.6794579	0.1774644	1.3676416	0.4307274	0.7741456	A359	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.1748676
495	0.9382121	-0.0817113	-0.3989673	-0.1387286	0.4307274	0.4305458	A252	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3033670
496	1.5436391	0.6794579	0.4653069	1.3676416	-0.6741149	0.8743858	A353	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2459232
497	0.1378814	-0.0817113	-0.2095117	-0.7589986	-0.6741149	0.9271270	A156	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2922048
498	-1.0529360	0.6794579	-0.7579366	-0.7589986	-0.6741149	1.2739776	A102	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2881406
499	0.6345812	-1.0288480	-0.8480995	-0.7589986	2.6404120	0.9613476	A4	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3593146
500	-1.0177696	-0.8904536	-1.1926732	-1.1134387	-0.6741149	0.9667509	A32	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1923291
501	0.0881756	0.6794579	-0.3610888	-0.0501185	0.4307274	0.6504673	A247	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1174805
502	-1.4914493	-0.8904536	-0.7513143	-0.7589986	-0.6741149	1.0413995	A42	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1437750
503	0.3965362	-0.9158259	0.0271343	-0.0501185	-0.6741149	0.8706629	A189	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1537663
504	-0.6754717	-0.0817113	-0.6271780	-0.7589986	-0.6741149	1.3931795	A103	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2992005
505	0.0882030	-0.0817113	0.0215508	-0.0501185	-0.6741149	0.8599079	A204	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2165641
506	-1.3969100	-1.2710382	-1.1473882	-0.7589986	-0.6741149	0.8078131	A26	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1329525
507	0.0510540	-0.0817113	-0.8112399	-0.7589986	-0.6741149	0.9013597	A128	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.4026695
508	-0.8547391	-0.9665705	-0.7144630	-0.7589986	0.4307274	0.8400110	A101	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.3002880
509	0.4628097	-0.5669567	-0.2850242	-0.7589986	0.4307274	1.2739776	A185	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.4471399
510	1.5436391	0.6794579	0.4653069	1.3676416	-0.6741149	0.8743858	A353	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2459232
511	0.4136674	-1.2710382	0.4531710	1.3676416	-0.6741149	0.6834577	A274	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.2154169
512	-0.8298063	-1.2710382	-0.7779807	-0.7589986	-0.6741149	1.0065678	A56	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1839032
513	1.2131488	-0.8904536	0.4560926	1.3676416	-0.6741149	0.8607481	A299	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1683354
514	0.6345812	-1.0288480	-0.8480995	-0.7589986	2.6404120	0.9613476	A4	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3593146
515	1.0254900	0.6794579	-0.2702624	-0.0501185	2.6404120	0.6065980	A357	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.3853183
516	1.5436391	0.6794579	0.4653069	1.3676416	-0.6741149	0.8743858	A353	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2459232
517	0.0882030	-0.0817113	0.0215508	-0.0501185	-0.6741149	0.8599079	A204	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2165641
518	-0.6183813	0.6794579	-0.1470126	-0.7589986	-0.6741149	0.8387819	A154	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2450028
519	-0.0967046	-1.2710382	0.0764772	-0.0501185	-0.6741149	0.9145794	A159	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1449521
520	0.8732664	-1.2710382	0.4606837	1.3676416	-0.6741149	0.8637490	A290	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1763845
521	1.1483887	0.6794579	-0.2058160	-0.1176309	-0.6741149	0.7920486	A251	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2205290
522	0.8732664	-1.2710382	0.4606837	1.3676416	-0.6741149	0.8637490	A290	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1763845
523	-1.2212752	-1.1949213	-0.9184308	-0.7589986	0.4307274	0.9056169	A38	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2263641
524	0.3965362	-0.9158259	0.0271343	-0.0501185	-0.6741149	0.8706629	A189	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1537663
525	-0.4577834	-0.8904536	-0.7650351	-0.7589986	-0.6741149	0.9988274	A88	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1126582
526	1.1483887	0.6794579	-0.2058160	-0.1176309	-0.6741149	0.7920486	A251	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2205290
527	0.8732664	-1.2710382	0.4606837	1.3676416	-0.6741149	0.8637490	A290	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1763845
528	2.7513994	0.6794579	-0.0893841	-0.2864119	2.6404120	0.4416556	A394	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.3436499
529	0.7009785	0.6794579	0.1645152	-0.0501185	-0.6741149	0.6087773	A253	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1620490
530	0.4535729	0.6794579	0.0446083	-0.1176309	2.6404120	0.8554266	A336	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.4808829
531	0.9382121	-0.0817113	-0.3989673	-0.1387286	0.4307274	0.4305458	A252	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3033670
532	0.6345812	-1.0288480	-0.8480995	-0.7589986	2.6404120	0.9613476	A4	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3593146
533	1.3839800	0.6794579	-0.2133905	1.3676416	0.4307274	0.4177555	A355	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2780810
534	-1.0612491	-1.0807459	-0.3831906	-0.0501185	-0.6741149	0.6044753	A115	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.3153555
535	0.9382121	-0.0817113	-0.3989673	-0.1387286	0.4307274	0.4305458	A252	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3033670
536	-0.7842712	-0.8904536	-0.7624999	-0.7589986	-0.6741149	0.9636174	A72	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1432533
537	-1.1520648	-0.8904536	-0.8230887	-0.7589986	-0.6741149	1.0615652	A53	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1181741
538	0.5858457	0.6794579	0.2072682	-0.0796552	0.4307274	0.7551581	A277	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1683594
539	0.9595457	-0.8904536	0.4558270	1.3676416	0.4307274	0.7242475	A323	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.2184596
540	-1.2106241	-1.2710382	-1.1926732	-1.1134387	-0.6741149	0.9685788	A18	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1741589
541	1.1586425	0.4257349	-0.5248132	-0.6802342	2.6404120	1.1168343	A342	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.4584948
542	0.6345812	-1.0288480	-0.8480995	-0.7589986	2.6404120	0.9613476	A4	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3593146
543	1.3475142	0.6794579	-0.4096799	-0.2273386	0.4307274	0.9013597	A280	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3151982
544	0.4436627	0.7508175	0.0755249	-0.0501185	-0.6741149	1.0526027	A239	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1731988
545	-0.7573899	-0.0817113	-0.1424493	-0.7235546	-0.6741149	0.7422744	A132	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2910648
546	-0.0718479	-0.8904536	-0.7613869	-0.7589986	-0.6741149	0.9809023	A106	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.3358017
547	0.4609046	-0.8904536	-0.2850242	-0.7589986	-0.6741149	0.7523573	A144	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2951347
548	0.7009785	0.6794579	0.1645152	-0.0501185	-0.6741149	0.6087773	A253	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1620490
549	0.6386747	-0.0817113	-0.0496423	-0.0501185	-0.6741149	0.6753609	A221	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1591266
550	1.5436391	0.6794579	0.4653069	1.3676416	-0.6741149	0.8743858	A353	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2459232
551	0.3965362	-0.9158259	0.0271343	-0.0501185	-0.6741149	0.8706629	A189	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1537663
552	1.3839800	0.6794579	-0.2133905	1.3676416	0.4307274	0.4177555	A355	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2780810
553	-0.7842712	-0.8904536	-0.7624999	-0.7589986	-0.6741149	0.9636174	A72	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1732465
554	-0.6811459	-0.0817113	-0.4568358	-0.7589986	0.4307274	0.7891509	A149	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2421214
555	-0.4780113	0.6794579	-0.0952910	-0.1335162	0.4307274	0.5989396	A233	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1657750
556	-0.4977567	0.6794579	-1.1845281	-1.0812168	-0.6741149	0.4834809	A112	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.1920232
557	0.6345812	-1.0288480	-0.8480995	-0.7589986	2.6404120	0.9613476	A4	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3593146
558	-1.2294343	-0.8904536	-0.7529158	-0.7589986	-0.6741149	0.6522755	A63	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1176381
559	0.4535729	0.6794579	0.0446083	-0.1176309	2.6404120	0.8554266	A336	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3884291
560	-0.2720868	-1.2710382	-0.8070198	-0.7589986	-0.6741149	0.8091201	A84	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1409427
561	-0.6183813	0.6794579	-0.1470126	-0.7589986	-0.6741149	0.8387819	A154	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2450028
562	-1.2294343	-0.8904536	-0.7529158	-0.7589986	-0.6741149	0.6522755	A63	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1671542
563	-0.7238201	-0.8904536	-0.0668768	-0.0501185	0.4307274	0.7187477	A176	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2031131
564	0.6345812	-1.0288480	-0.8480995	-0.7589986	2.6404120	0.9613476	A4	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3593146
565	-0.6319890	-0.8904536	-0.7914378	-0.7589986	-0.6741149	0.5795082	A90	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.0490318
566	0.1416116	-0.0817113	-0.7464899	-0.4863524	0.4307274	0.6654895	A191	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.2775415
567	0.0881756	0.6794579	-0.3610888	-0.0501185	0.4307274	0.6504673	A247	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1174805
568	0.0882030	-0.0817113	0.0215508	-0.0501185	-0.6741149	0.8599079	A204	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2165641
569	-0.4622643	-0.0817113	-0.8218598	-0.6239738	-0.6741149	0.6960213	A120	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.1499995
570	-0.7573899	-0.0817113	-0.1424493	-0.7235546	-0.6741149	0.7422744	A132	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2910648
571	1.5436391	0.6794579	0.4653069	1.3676416	-0.6741149	0.8743858	A353	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2459232
572	0.2863498	-0.8904536	0.4473277	1.3676416	-0.6741149	0.6582506	A264	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1680307
573	1.5436391	0.6794579	0.4653069	1.3676416	-0.6741149	0.8743858	A353	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2459232
574	0.4233612	-1.1441767	0.4525217	1.3676416	0.4307274	1.0167525	A307	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.3632843
575	0.7009785	0.6794579	0.1645152	-0.0501185	-0.6741149	0.6087773	A253	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1620490
576	-0.6183813	0.6794579	-0.1470126	-0.7589986	-0.6741149	0.8387819	A154	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2450028
577	-0.9304917	-0.8904536	-1.1420319	-0.7589986	-0.6741149	0.6851382	A59	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1498168
578	-0.6319890	-0.8904536	-0.7914378	-0.7589986	-0.6741149	0.5795082	A90	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.0490318
579	-1.3233935	-1.0288480	-1.1926732	-1.1134387	0.4307274	0.8806847	A15	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2792940
580	-0.6679957	-0.8904536	-1.0978830	-0.7589986	-0.6741149	0.3911666	A75	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1080114
581	0.2863498	-0.8904536	0.4473277	1.3676416	-0.6741149	0.6582506	A264	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1680307
582	0.2385718	-0.0817113	-0.0911773	-0.0501185	0.4307274	0.6857784	A238	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1251137
583	0.9864884	-0.0817113	0.4473277	1.3676416	-0.6741149	0.7153868	A314	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.2171907
584	-0.6081447	-0.8904536	-0.2071145	-0.7589986	0.4307274	0.6246410	A141	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.1189319
585	-0.8774768	-0.8904536	-0.7775872	-0.7589986	-0.6741149	0.6612381	A77	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1058765
586	-1.4998883	-0.8904536	-0.7531912	-0.7589986	-0.6741149	0.6179191	A54	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1546192
587	0.0881756	0.6794579	-0.3610888	-0.0501185	0.4307274	0.6504673	A247	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1174805
588	-1.1819614	-0.9285121	-0.1884161	-0.7589986	-0.6741149	0.6582506	A89	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2122946
589	-0.1592834	0.6794579	0.0325880	-0.0501185	-0.6741149	0.7631124	A216	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1944648
590	-0.8841020	-0.0817113	-1.1926732	-1.1134387	-0.6741149	0.9069613	A50	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.3394324
591	-0.1760634	-0.9750280	-0.8459747	-0.7589986	0.4307274	0.6806569	A122	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2012773
592	0.0882030	-0.0817113	0.0215508	-0.0501185	-0.6741149	0.8599079	A204	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2405346
593	-1.0908643	-1.2710382	-0.8132526	-0.7589986	-0.6741149	0.5291899	A55	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1617288
594	-0.3664620	-0.8904536	-0.0384228	-0.0501185	-0.6741149	0.6728634	A157	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1189674
595	1.5188746	-0.5310126	-0.5473205	-0.7589986	2.6404120	0.3565114	A311	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3522196
596	-1.6648110	-1.2710382	-0.8420792	-0.7589986	-0.6741149	0.8431031	A22	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1434286
597	0.8713613	2.2969425	0.2132088	-0.0501185	-0.6741149	1.3116203	A317	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3315220
598	-0.5081283	1.0540959	-1.1926732	-1.1134387	-0.6741149	1.3573293	A30	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3483079
599	1.1483887	0.6794579	-0.2058160	-0.1176309	-0.6741149	0.7920486	A251	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2205290
600	1.3583733	0.6794579	0.1774644	1.3676416	0.4307274	0.7741456	A359	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.1748676
601	0.3534844	0.7864973	-0.1184921	-0.0501185	0.4307274	1.2783468	A259	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1894923
602	0.4436627	0.7508175	0.0755249	-0.0501185	-0.6741149	1.0526027	A239	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1731988
603	-0.6183813	0.6794579	-0.1470126	-0.7589986	-0.6741149	0.8387819	A154	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2450028
604	1.0254900	0.6794579	-0.2702624	-0.0501185	2.6404120	0.6065980	A357	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.3853183
605	-0.0718479	-0.8904536	-0.7613869	-0.7589986	-0.6741149	0.9809023	A106	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.3358017
606	-0.4577834	-0.8904536	-0.7650351	-0.7589986	-0.6741149	0.9988274	A88	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1126582
607	1.5113132	2.2969425	0.4454946	1.3676416	-0.0891984	1.3446763	A396	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3842935
608	2.7513994	0.6794579	-0.0893841	-0.2864119	2.6404120	0.4416556	A394	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.3436499
609	0.8775961	0.6794579	0.4473277	1.3676416	-0.6741149	1.4111046	A338	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3695510
610	1.5113132	2.2969425	0.4454946	1.3676416	-0.0891984	1.3446763	A396	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3842935
611	0.8713613	2.2969425	0.2132088	-0.0501185	-0.6741149	1.3116203	A317	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3315220
612	-0.4295440	0.6794579	-0.1194659	-0.0501185	0.4307274	1.4648799	A234	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.2975377
613	-0.0047993	2.2969425	-0.7758559	-0.7589986	0.4307274	0.9372099	A210	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3840464
614	0.9382121	-0.0817113	-0.3989673	-0.1387286	0.4307274	0.4305458	A252	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3033670
615	0.0882030	-0.0817113	0.0215508	-0.0501185	-0.6741149	0.8599079	A204	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2165641
616	1.2137055	-0.0817113	0.4117118	1.3676416	0.4307274	0.5948725	A347	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.3468465
617	-1.6583164	-1.2710382	-1.1834214	-0.9362186	-0.6741149	1.0666066	A8	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2139889
618	1.5393205	0.8142483	2.4158483	1.3676416	0.3386572	0.5417374	A402	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.4910310
619	0.4436627	0.7508175	0.0755249	-0.0501185	-0.6741149	1.0526027	A239	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1731988
620	-0.2759836	0.7329776	-0.7474513	-0.8180720	0.4307274	0.9747405	A173	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3317691
621	0.9382121	-0.0817113	-0.3989673	-0.1387286	0.4307274	0.4305458	A252	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3033670
622	0.8229551	-0.1625855	-0.0929766	-0.1210066	2.6404120	0.7079927	A320	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.2615865
623	1.5113132	2.2969425	0.4454946	1.3676416	-0.0891984	1.3446763	A396	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3842935
624	2.0457525	0.3411605	-0.2123084	-0.0501185	2.6404120	1.1213155	A385	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.3477847
625	-0.4398488	-0.9665705	-0.8748013	-0.7589986	0.4307274	1.2148248	A100	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2497360
626	0.1549190	0.6794579	-0.8358753	-0.7589986	-0.6741149	0.8126055	A155	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2151435
627	0.3351450	-1.1079305	0.4473277	1.3676416	-0.6741149	1.3880580	A270	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.3177789
628	2.0649269	0.6250887	0.3146029	-0.2526557	0.4307274	0.9876242	A329	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.1679589
629	0.0882030	-0.0817113	0.0215508	-0.0501185	-0.6741149	0.8599079	A204	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2405346
630	-0.0047993	2.2969425	-0.7758559	-0.7589986	0.4307274	0.9372099	A210	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3840464
631	-1.0529360	0.6794579	-0.7579366	-0.7589986	-0.6741149	1.2739776	A102	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2881406
632	0.8713613	2.2969425	0.2132088	-0.0501185	-0.6741149	1.3116203	A317	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3315220
633	0.6345812	-1.0288480	-0.8480995	-0.7589986	2.6404120	0.9613476	A4	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3593146
634	-1.2835798	-0.8904536	-0.2850242	-0.7589986	-0.6741149	1.4111046	A49	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2484627
635	-1.2281595	-0.0817113	-1.0500009	-0.8476086	-0.6741149	0.9405708	A51	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2196074
636	-0.6183813	0.6794579	-0.1470126	-0.7589986	-0.6741149	0.8387819	A154	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.3440539
637	0.7260562	-0.0817113	0.4473277	1.3676416	-0.6741149	1.4111046	A312	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.3325416
638	-0.7573899	-0.0817113	-0.1424493	-0.7235546	-0.6741149	0.7422744	A132	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.3935235
639	0.5858457	0.6794579	0.2072682	-0.0796552	0.4307274	0.7551581	A277	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1683594
640	-1.1520648	-0.8904536	-0.8230887	-0.7589986	-0.6741149	1.0615652	A53	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1181741
641	-1.1520648	-0.8904536	-0.8230887	-0.7589986	-0.6741149	1.0615652	A53	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1181741
642	-0.1681737	-1.2076074	-1.0225702	-0.7589986	2.6404120	1.3237197	A1	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.4793866
643	-0.4622643	-0.0817113	-0.8218598	-0.6239738	-0.6741149	0.6960213	A120	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.1499995
644	-0.8323928	0.1901349	-1.1640136	-1.0881215	0.4307274	0.9520941	A68	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3979884
645	0.4233612	-1.1441767	0.4525217	1.3676416	0.4307274	1.0167525	A307	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.3632843
646	-0.0967046	-1.2710382	0.0764772	-0.0501185	-0.6741149	0.9145794	A159	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1449521
647	0.1378814	-0.0817113	-0.2095117	-0.7589986	-0.6741149	0.9271270	A156	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2922048
648	-0.4295440	0.6794579	-0.1194659	-0.0501185	0.4307274	1.4648799	A234	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.2975377
649	-1.2527667	-1.0490305	-0.7836469	-0.7589986	-0.6741149	1.5724304	A25	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1697746
650	2.0420413	0.6794579	0.3833304	-0.1513871	-0.6741149	0.6889793	A300	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.2153877
651	0.4535729	0.6794579	0.0446083	-0.1176309	2.6404120	0.8554266	A336	C142	0.1328959	0.6627507	0.4814828	-0.0248014	2.6404120	-0.9712527	0.4489613
652	-0.5081283	1.0540959	-1.1926732	-1.1134387	-0.6741149	1.3573293	A30	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3483079
653	-0.5321582	0.6794579	-0.6122453	-0.5227053	-0.6741149	1.5724304	A131	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3147505
654	-1.2527667	-1.0490305	-0.7836469	-0.7589986	-0.6741149	1.5724304	A25	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1697746
655	-0.6761212	-0.9380267	-0.0775894	-0.0501185	0.4307274	1.4111046	A161	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.3166995
656	0.2426129	-0.0817113	-0.0457299	-0.0501185	-0.6741149	1.5724304	A205	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2983694
657	0.3777899	2.2969425	-0.0544821	-0.0501185	-0.6741149	1.4551025	A283	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.2285586
658	-0.2407205	-0.9327408	0.0421969	-0.0501185	-0.6741149	1.5724304	A153	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2274539
659	-0.5826715	-1.2710382	0.1162111	-0.0501185	-0.6741149	1.2856289	A135	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2944105
660	-0.4295440	0.6794579	-0.1194659	-0.0501185	0.4307274	1.4648799	A234	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.2975377
661	0.0962995	0.6794579	0.3728265	-0.0501185	0.4307274	1.5724304	A267	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3053540
662	-0.2759836	0.7329776	-0.7474513	-0.8180720	0.4307274	0.9747405	A173	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3944682
663	0.3351450	-1.1079305	0.4473277	1.3676416	-0.6741149	1.3880580	A270	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.3177789
664	2.7513994	0.6794579	-0.0893841	-0.2864119	2.6404120	0.4416556	A394	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.3436499
665	-0.6754717	-0.0817113	-0.6271780	-0.7589986	-0.6741149	1.3931795	A103	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.4203174
666	-1.0383016	-0.0817113	-1.1926732	-1.1134387	-0.6741149	1.5724304	A17	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.4423912
667	0.4155394	2.2969425	0.0997126	-0.0501185	0.4307274	1.4965124	A332	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3205084
668	-0.2407205	-0.9327408	0.0421969	-0.0501185	-0.6741149	1.5724304	A153	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2274539
669	-0.0579826	2.2969425	-0.8919090	-0.8919136	-0.6741149	1.1814393	A19	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.4220525
670	1.0642686	2.2969425	0.1573920	-0.0501185	2.6404120	0.7542778	A395	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.5940312
671	1.5113132	2.2969425	0.4454946	1.3676416	-0.0891984	1.3446763	A396	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3842935
672	-1.2527667	-1.0490305	-0.7836469	-0.7589986	-0.6741149	1.5724304	A25	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1697746
673	0.3777899	2.2969425	-0.0544821	-0.0501185	-0.6741149	1.4551025	A283	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.2285586
674	0.6345812	-1.0288480	-0.8480995	-0.7589986	2.6404120	0.9613476	A4	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3593146
675	0.4155394	2.2969425	0.0997126	-0.0501185	0.4307274	1.4965124	A332	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3205084
676	0.3777899	2.2969425	-0.0544821	-0.0501185	-0.6741149	1.4551025	A283	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.2285586
677	-1.3171351	-1.0331728	-0.9316755	-0.8476086	0.4307274	1.5724304	A12	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.4799061
678	-0.2407205	-0.9327408	0.0421969	-0.0501185	-0.6741149	1.5724304	A153	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2274539
679	-0.5826715	-1.2710382	0.1162111	-0.0501185	-0.6741149	1.2856289	A135	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2944105
680	0.3351450	-1.1079305	0.4473277	1.3676416	-0.6741149	1.3880580	A270	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.3177789
681	0.4436352	0.8629541	0.0305104	-0.1007528	-0.6741149	1.5724304	A240	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2625801
682	0.4436352	0.8629541	0.0305104	-0.1007528	-0.6741149	1.5724304	A240	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2625801
683	0.4436352	0.8629541	0.0305104	-0.1007528	-0.6741149	1.5724304	A240	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2625801
684	-1.2527667	-1.0490305	-0.7836469	-0.7589986	-0.6741149	1.5724304	A25	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1697746
685	1.5113132	2.2969425	0.4454946	1.3676416	-0.0891984	1.3446763	A396	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3842935
686	-0.7621278	-0.8904536	-0.8827036	-0.7589986	-0.6741149	1.5724304	A46	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2583720
687	-0.5200350	-0.8904536	-0.6589912	-0.7589986	2.6404120	1.2195301	A2	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.4072098
688	1.5113132	2.2969425	0.4454946	1.3676416	-0.0891984	1.3446763	A396	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3842935
689	-0.4398488	-0.9665705	-0.8748013	-0.7589986	0.4307274	1.2148248	A100	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2497360
690	0.8713613	2.2969425	0.2132088	-0.0501185	-0.6741149	1.3116203	A317	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3315220
691	-1.2527667	-1.0490305	-0.7836469	-0.7589986	-0.6741149	1.5724304	A25	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1697746
692	-0.0926058	1.0219841	-0.7774141	-0.7589986	-0.6741149	1.3573293	A134	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3315079
693	1.0688362	0.7453283	0.3484422	1.3676416	0.4307274	1.3407830	A362	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2660080
694	-0.7621278	-0.8904536	-0.8827036	-0.7589986	-0.6741149	1.5724304	A46	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.2264168
695	-0.6754717	-0.0817113	-0.6271780	-0.7589986	-0.6741149	1.3931795	A103	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2992005
696	1.0642686	2.2969425	0.1573920	-0.0501185	2.6404120	0.7542778	A395	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.7037868
697	0.4155394	2.2969425	0.0997126	-0.0501185	0.4307274	1.4965124	A332	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3205084
698	0.0962995	0.6794579	0.3728265	-0.0501185	0.4307274	1.5724304	A267	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3053540
699	0.4436352	0.8629541	0.0305104	-0.1007528	-0.6741149	1.5724304	A240	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2625801
700	0.9382121	-0.0817113	-0.3989673	-0.1387286	0.4307274	0.4305458	A252	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3033670
701	-0.0579826	2.2969425	-0.8919090	-0.8919136	-0.6741149	1.1814393	A19	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.4220525
702	-0.0047993	2.2969425	-0.7758559	-0.7589986	0.4307274	0.9372099	A210	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3840464
703	0.2426129	-0.0817113	-0.0457299	-0.0501185	-0.6741149	1.5724304	A205	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.3962368
704	-0.5200350	-0.8904536	-0.6589912	-0.7589986	2.6404120	1.2195301	A2	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.4072098
705	-0.9484291	0.6794579	-1.1320149	-0.9615358	-0.6741149	1.0327570	A67	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2697295
706	0.4155394	2.2969425	0.0997126	-0.0501185	0.4307274	1.4965124	A332	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3205084
707	0.4436352	0.8629541	0.0305104	-0.1007528	-0.6741149	1.5724304	A240	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2625801
708	-1.0529360	0.6794579	-0.7579366	-0.7589986	-0.6741149	1.2739776	A102	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2881406
709	2.0420413	0.6794579	0.3833304	-0.1513871	-0.6741149	0.6889793	A300	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.2153877
710	1.2778780	1.1076156	0.4473277	1.3676416	-0.6741149	1.3573293	A363	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2618180
711	-0.3018175	-0.8904536	0.2554749	-0.0501185	0.4307274	1.5724304	A200	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.3857884
712	-1.2527667	-1.0490305	-0.7836469	-0.7589986	-0.6741149	1.5724304	A25	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1697746
713	-0.1566278	-0.8904536	-0.5810814	-0.7589986	-0.6741149	1.5724304	A96	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.4184688
714	1.0688362	0.7453283	0.3484422	1.3676416	0.4307274	1.3407830	A362	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.2660080
715	-0.9484291	0.6794579	-1.1320149	-0.9615358	-0.6741149	1.0327570	A67	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2697295
716	1.1483887	0.6794579	-0.2058160	-0.1176309	-0.6741149	0.7920486	A251	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2205290
717	-0.0047993	2.2969425	-0.7758559	-0.7589986	0.4307274	0.9372099	A210	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3840464
718	-0.6811459	-0.0817113	-0.4568358	-0.7589986	0.4307274	0.7891509	A149	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2421214
719	-0.3018175	-0.8904536	0.2554749	-0.0501185	0.4307274	1.5724304	A200	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.3857884
720	-0.6811459	-0.0817113	-0.4568358	-0.7589986	0.4307274	0.7891509	A149	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2421214
721	-0.2407205	-0.9327408	0.0421969	-0.0501185	-0.6741149	1.5724304	A153	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2274539
722	-0.0579826	2.2969425	-0.8919090	-0.8919136	-0.6741149	1.1814393	A19	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.4220525
723	-0.2034712	-0.8904536	-0.1047187	-0.7589986	-0.6741149	0.6851382	A127	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1990002
724	-1.1819614	-0.9285121	-0.1884161	-0.7589986	-0.6741149	0.6582506	A89	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2122946
725	-0.1592834	0.6794579	0.0325880	-0.0501185	-0.6741149	0.7631124	A216	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1944648
726	-0.3664620	-0.8904536	-0.0384228	-0.0501185	-0.6741149	0.6728634	A157	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1189674
727	-0.8774768	-0.8904536	-0.7775872	-0.7589986	-0.6741149	0.6612381	A77	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1058765
728	-0.8774768	-0.8904536	-0.7775872	-0.7589986	-0.6741149	0.6612381	A77	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1058765
729	0.2863498	-0.8904536	0.4473277	1.3676416	-0.6741149	0.6582506	A264	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1680307
730	0.6082880	0.7406233	0.3666355	1.3676416	0.4307274	0.2453332	A348	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3092878
731	0.3299741	2.2969425	0.1380259	-0.1918946	-0.6741149	0.3107278	A279	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.2151361
732	-0.3165385	-0.8904536	0.4807176	-0.0501185	0.4307274	0.5929520	A213	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2605423
733	-0.3664620	-0.8904536	-0.0384228	-0.0501185	-0.6741149	0.6728634	A157	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1189674
734	1.3583733	0.6794579	0.1774644	1.3676416	0.4307274	0.7741456	A359	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.1748676
735	1.6918707	0.6794579	2.2859986	2.7854017	-0.6741149	0.3837725	A417	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.4096297
736	0.1813784	0.7650895	-0.0918080	-0.7589986	-0.6741149	0.8262983	A195	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2137512
737	-0.3664620	-0.8904536	-0.0384228	-0.0501185	-0.6741149	0.6728634	A157	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1189674
738	1.5227232	2.2969425	0.3155303	1.3676416	2.6404120	0.7702824	A424	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.5286426
739	-0.6811459	-0.0817113	-0.4568358	-0.7589986	0.4307274	0.7891509	A149	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2421214
740	-1.1355627	-0.8904536	-0.8119777	-0.7589986	-0.6741149	0.7340248	A62	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1098148
741	-1.4998883	-0.8904536	-0.7531912	-0.7589986	-0.6741149	0.6179191	A54	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1546192
742	-0.0326177	0.6794579	0.4857957	-0.0501185	0.4307274	0.5364159	A266	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.2127107
743	1.3035676	-0.8904536	2.2859986	2.7854017	-0.6741149	0.3311175	A404	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.4365331
744	0.5858457	0.6794579	0.2072682	-0.0796552	0.4307274	0.7551581	A277	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1683594
745	-0.0326177	0.6794579	0.4857957	-0.0501185	0.4307274	0.5364159	A266	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.2127107
746	0.6604177	0.6794579	0.5969145	1.3676416	-0.6741149	0.4162618	A327	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3585708
747	-0.1592834	0.6794579	0.0325880	-0.0501185	-0.6741149	0.7631124	A216	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1944648
748	0.9732827	2.2969425	0.5369240	1.3676416	0.4307274	0.2784626	A392	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.6991930
749	1.1529658	2.2969425	0.7278030	1.3676416	-0.6741149	0.5170904	A388	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.4476537
750	-0.1592834	0.6794579	0.0325880	-0.0501185	-0.6741149	0.7631124	A216	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.1944648
751	-0.8774768	-0.8904536	-0.7775872	-0.7589986	-0.6741149	0.6612381	A77	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1058765
752	-0.4780113	0.6794579	-0.0952910	-0.1335162	0.4307274	0.5989396	A233	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1657750
753	0.6345812	-1.0288480	-0.8480995	-0.7589986	2.6404120	0.9613476	A4	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3593146
754	0.2863498	-0.8904536	0.4473277	1.3676416	-0.6741149	0.6582506	A264	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1680307
755	1.3035676	-0.8904536	2.2859986	2.7854017	-0.6741149	0.3311175	A404	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.4365331
756	0.4619437	0.6239560	0.2058074	1.3676416	0.4307274	1.3573293	A341	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.4797933
757	0.3762154	-0.1054978	2.5976378	-0.0501185	0.4307274	0.6851382	A346	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.5976143
758	0.0881756	0.6794579	-0.3610888	-0.0501185	0.4307274	0.6504673	A247	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1174805
759	-1.0529360	0.6794579	-0.7579366	-0.7589986	-0.6741149	1.2739776	A102	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2881406
760	1.3035676	-0.8904536	2.2859986	2.7854017	-0.6741149	0.3311175	A404	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.4365331
761	0.3299741	2.2969425	0.1380259	-0.1918946	-0.6741149	0.3107278	A279	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.2151361
762	-0.7986953	-0.8904536	-0.1572522	-0.7589986	-0.6741149	0.6716944	A108	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1978781
763	-1.3495502	-0.9411982	-0.6278273	-0.8062573	0.4307274	0.4279131	A76	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2796196
764	1.4210514	0.7298294	0.2619483	1.3676416	2.6404120	0.7523573	A399	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.2784989
765	0.3762154	-0.1054978	2.5976378	-0.0501185	0.4307274	0.6851382	A346	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.8527962
766	-0.1760634	-0.9750280	-0.8459747	-0.7589986	0.4307274	0.6806569	A122	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2012773
767	-0.7573899	-0.0817113	-0.1424493	-0.7235546	-0.6741149	0.7422744	A132	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.4237545
768	-0.3664620	-0.8904536	-0.0384228	-0.0501185	-0.6741149	0.6728634	A157	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1189674
769	-0.2814060	-1.0535613	-0.7853164	-0.7589986	2.6404120	0.5286137	A11	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3225882
770	-1.4998883	-0.8904536	-0.7531912	-0.7589986	-0.6741149	0.6179191	A54	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1546192
771	0.5118353	2.2969425	0.2058074	-0.0501185	0.4307274	0.6592847	A324	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.2673353
772	2.1382846	2.2969425	2.2859986	2.7854017	-0.5951976	0.4028179	A431	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.7436342
773	-0.3165385	-0.8904536	0.4807176	-0.0501185	0.4307274	0.5929520	A213	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2605423
774	0.2863498	-0.8904536	0.4473277	1.3676416	-0.6741149	0.6582506	A264	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.1680307
775	-0.7238201	-0.8904536	-0.0668768	-0.0501185	0.4307274	0.7187477	A176	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2031131
776	-0.7238201	-0.8904536	-0.0668768	-0.0501185	0.4307274	0.7187477	A176	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2031131
777	1.3583733	0.6794579	0.1774644	1.3676416	0.4307274	0.7741456	A359	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.1748676
778	-0.0579826	2.2969425	-0.8919090	-0.8919136	-0.6741149	1.1814393	A19	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.4220525
779	-0.3664620	-0.8904536	-0.0384228	-0.0501185	-0.6741149	0.6728634	A157	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1189674
780	1.3583733	0.6794579	0.1774644	1.3676416	0.4307274	0.7741456	A359	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.1748676
781	0.6082880	0.7406233	0.3666355	1.3676416	0.4307274	0.2453332	A348	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3092878
782	-0.6073378	0.6794579	-0.0243806	-0.7589986	-0.6741149	0.1718286	A174	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3159403
783	-0.2479336	0.6794579	0.1373222	-0.0501185	-0.6741149	0.2094004	A225	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.4113028
784	-1.0278237	-0.5669567	-0.2203591	-0.7589986	0.4307274	-0.1188024	A148	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.3385092
785	-0.2479336	0.6794579	0.1373222	-0.0501185	-0.6741149	0.2094004	A225	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2845326
786	-0.9206777	0.6794579	-0.4564258	-0.7589986	0.4307274	-0.1584616	A194	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.5171177
787	-1.5257791	-1.2710382	-0.8290942	-0.7589986	-0.6741149	0.4087930	A37	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1948058
788	0.6604177	0.6794579	0.5969145	1.3676416	-0.6741149	0.4162618	A327	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3585708
789	-0.5259523	0.6794579	0.0204470	-0.0501185	0.4307274	-0.2391246	A254	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3466318
790	0.6162980	2.2969425	0.0821256	-0.0501185	0.4307274	0.0398347	A334	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3673737
791	0.6604177	0.6794579	0.5969145	1.3676416	-0.6741149	0.4162618	A327	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3585708
792	0.3091667	0.6250887	0.1409753	-0.0501185	0.4307274	0.0696032	A273	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1881152
793	0.3299741	2.2969425	0.1380259	-0.1918946	-0.6741149	0.3107278	A279	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.2151361
794	0.6162980	2.2969425	0.0821256	-0.0501185	0.4307274	0.0398347	A334	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3673737
795	1.6918707	0.6794579	2.2859986	2.7854017	-0.6741149	0.3837725	A417	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.4096297
796	0.3091667	0.6250887	0.1409753	-0.0501185	0.4307274	0.0696032	A273	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1881152
797	-1.4985500	-0.8904536	0.0129807	-0.7589986	0.4307274	-0.6340368	A139	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.5061452
798	-1.2334850	-0.9285121	-0.8494806	-0.8298866	0.4307274	-0.4562423	A86	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2671521
799	-1.4853571	-0.9128409	-0.3010645	-0.7589986	-0.6741149	-0.2037357	A81	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2444403
800	-0.3787532	-0.9197293	-0.0015525	-0.0501185	-0.6741149	0.0553468	A171	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1675828
801	-0.6073378	0.6794579	-0.0243806	-0.7589986	-0.6741149	0.1718286	A174	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3159403
802	4.0729238	1.4882002	1.2936228	0.3043215	2.6404120	0.0700833	A434	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.8026677
803	0.4125850	-0.8904536	1.3164547	1.3676416	-0.6741149	0.3146862	A313	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.3030926
804	-0.2479336	0.6794579	0.1373222	-0.0501185	-0.6741149	0.2094004	A225	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2845326
805	-0.4194414	0.3623041	-0.3850085	-0.7589986	2.6404120	0.1227383	A235	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3847619
806	-0.5259523	0.6794579	0.0204470	-0.0501185	0.4307274	-0.2391246	A254	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3466318
807	-0.5259523	0.6794579	0.0204470	-0.0501185	0.4307274	-0.2391246	A254	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3466318
808	-1.2265311	-0.8904536	-0.8161657	-0.7589986	-0.6741149	0.2654571	A65	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2286458
809	-0.2479336	0.6794579	0.1373222	-0.0501185	-0.6741149	0.2094004	A225	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2845326
810	2.1382846	2.2969425	2.2859986	2.7854017	-0.5951976	0.4028179	A431	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.7436342
811	1.8323843	0.5272241	-0.0886916	-0.3336706	0.4307274	0.2441808	A302	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.2122518
812	-1.5257791	-1.2710382	-0.8290942	-0.7589986	-0.6741149	0.4087930	A37	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1948058
813	0.3337842	-0.9285121	0.4473277	1.3676416	-0.6741149	0.0156359	A278	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.2275564
814	0.6162980	2.2969425	0.0821256	-0.0501185	0.4307274	0.0398347	A334	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3673737
815	-0.5259523	0.6794579	0.0204470	-0.0501185	0.4307274	-0.2391246	A254	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3466318
816	2.1382846	2.2969425	2.2859986	2.7854017	-0.5951976	0.4028179	A431	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.7436342
817	0.6162980	2.2969425	0.0821256	-0.0501185	0.4307274	0.0398347	A334	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.3673737
818	1.3035676	-0.8904536	2.2859986	2.7854017	-0.6741149	0.3311175	A404	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.4365331
819	2.1382846	2.2969425	2.2859986	2.7854017	-0.5951976	0.4028179	A431	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.7436342
820	1.5188746	-0.5310126	-0.5473205	-0.7589986	2.6404120	0.3565114	A311	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3522196
821	-1.2454062	-0.0817113	-0.7966318	-0.7589986	-0.6741149	0.3837725	A94	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3503211
822	-0.6073378	0.6794579	-0.0243806	-0.7589986	-0.6741149	0.1718286	A174	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3159403
823	0.9166547	0.4215618	1.4119739	1.3676416	2.6404120	-0.5991006	A409	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.7671375
824	-0.3787532	-0.9197293	-0.0015525	-0.0501185	-0.6741149	0.0553468	A171	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.1675828
825	2.1382846	2.2969425	2.2859986	2.7854017	-0.5951976	0.4028179	A431	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.7436342
826	0.3337842	-0.9285121	0.4473277	1.3676416	-0.6741149	0.0156359	A278	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.2275564
827	-0.4194414	0.3623041	-0.3850085	-0.7589986	2.6404120	0.1227383	A235	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3847619
828	1.6918707	0.6794579	2.2859986	2.7854017	-0.6741149	0.3837725	A417	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.4096297
829	0.6013605	-1.0807459	0.3733134	1.3676416	0.4307274	0.2532554	A315	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.2870011
830	-1.2454062	-0.0817113	-0.7966318	-0.7589986	-0.6741149	0.3837725	A94	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2872310
831	-0.9206777	0.6794579	-0.4564258	-0.7589986	0.4307274	-0.1584616	A194	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.4988130
832	1.5188746	-0.5310126	-0.5473205	-0.7589986	2.6404120	0.3565114	A311	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.3522196
833	-0.0326177	0.6794579	0.4857957	-0.0501185	0.4307274	0.5364159	A266	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.2127107
834	0.6604177	0.6794579	0.5969145	1.3676416	-0.6741149	0.4162618	A327	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3585708
835	-0.2479336	0.6794579	0.1373222	-0.0501185	-0.6741149	0.2094004	A225	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2845326
836	-1.1819614	-0.9285121	-0.1884161	-0.7589986	-0.6741149	0.6582506	A89	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.2479781
837	1.8323843	0.5272241	-0.0886916	-0.3336706	0.4307274	0.2441808	A302	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.2122518
838	-0.4780113	0.6794579	-0.0952910	-0.1335162	0.4307274	0.5989396	A233	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1657750
839	-0.2479336	0.6794579	0.1373222	-0.0501185	-0.6741149	0.2094004	A225	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2845326
840	-0.2479336	0.6794579	0.1373222	-0.0501185	-0.6741149	0.2094004	A225	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2845326
841	-0.6073378	0.6794579	-0.0243806	-0.7589986	-0.6741149	0.1718286	A174	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3159403
842	0.6604177	0.6794579	0.5969145	1.3676416	-0.6741149	0.4162618	A327	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3585708
843	-0.4780113	0.6794579	-0.0952910	-0.1335162	0.4307274	0.5989396	A233	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1657750
844	-1.1819614	-0.9285121	-0.1884161	-0.7589986	-0.6741149	0.6582506	A89	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.2122946
845	1.2508173	-0.8904536	2.2859986	2.7854017	0.4307274	0.5731063	A411	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.4042469
846	-1.2265311	-0.8904536	-0.8161657	-0.7589986	-0.6741149	0.2654571	A65	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1720500
847	0.4125850	-0.8904536	1.3164547	1.3676416	-0.6741149	0.3146862	A313	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.3030926
848	0.6604177	0.6794579	0.5969145	1.3676416	-0.6741149	0.4162618	A327	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3585708
849	1.3035676	-0.8904536	2.2859986	2.7854017	-0.6741149	0.3311175	A404	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.4365331
850	-0.4780113	0.6794579	-0.0952910	-0.1335162	0.4307274	0.5989396	A233	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1657750
851	-1.4998883	-0.8904536	-0.7531912	-0.7589986	-0.6741149	0.6179191	A54	C512	-1.2707584	-1.0397430	-0.9098567	-0.8315183	-0.5949957	0.8589108	0.1546192
852	1.1529658	2.2969425	0.7278030	1.3676416	-0.6741149	0.5170904	A388	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.4476537
853	0.3299741	2.2969425	0.1380259	-0.1918946	-0.6741149	0.3107278	A279	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.2151361
854	-0.4780113	0.6794579	-0.0952910	-0.1335162	0.4307274	0.5989396	A233	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1657750
855	-0.7541281	-0.8904536	-0.7462502	-0.7589986	-0.6741149	0.3562127	A92	C471	-0.5129045	-0.9728948	-0.8664462	-0.7547916	-0.6741149	0.5660586	0.1096523
856	-1.0612491	-1.0807459	-0.3831906	-0.0501185	-0.6741149	0.6044753	A115	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2902875
857	0.5858457	0.6794579	0.2072682	-0.0796552	0.4307274	0.7551581	A277	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.1683594
858	0.6082880	0.7406233	0.3666355	1.3676416	0.4307274	0.2453332	A348	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.3092878
859	-1.3495502	-0.9411982	-0.6278273	-0.8062573	0.4307274	0.4279131	A76	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2796196
860	-0.0579826	2.2969425	-0.8919090	-0.8919136	-0.6741149	1.1814393	A19	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.5112915
861	-0.2479336	0.6794579	0.1373222	-0.0501185	-0.6741149	0.2094004	A225	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2845326
862	1.1529658	2.2969425	0.7278030	1.3676416	-0.6741149	0.5170904	A388	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.4476537
863	0.7422926	-0.8904536	-0.3970196	-0.4045586	0.4307274	0.5204514	A207	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2437347
864	-0.2002548	0.6794579	1.2342166	-0.0501185	0.4307274	0.3490426	A289	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.6202686
865	1.3035676	-0.8904536	2.2859986	2.7854017	-0.6741149	0.3311175	A404	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.4365331
866	-0.0579826	2.2969425	-0.8919090	-0.8919136	-0.6741149	1.1814393	A19	C301	0.3539798	2.2969425	-0.1275540	-0.2934206	-0.2808659	0.8171839	0.4220525
867	1.5393205	0.8142483	2.4158483	1.3676416	0.3386572	0.5417374	A402	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.5314198
868	-0.9815824	0.3411605	-0.2850242	-0.0501185	-0.6741149	-0.0826534	A184	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.4334072
869	-0.2479336	0.6794579	0.1373222	-0.0501185	-0.6741149	0.2094004	A225	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2845326
870	-0.2479336	0.6794579	0.1373222	-0.0501185	-0.6741149	0.2094004	A225	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.2845326
871	0.4125850	-0.8904536	1.3164547	1.3676416	-0.6741149	0.3146862	A313	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.3030926
872	-0.6811459	-0.0817113	-0.4568358	-0.7589986	0.4307274	0.7891509	A149	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2421214
873	2.1513975	1.4882002	6.5710368	1.3676416	0.4307274	-0.2828170	A438	B12	5.5095223	0.6794579	3.0650965	4.2031619	2.6404120	0.4969247	2.2496257
874	-0.6073378	0.6794579	-0.0243806	-0.7589986	-0.6741149	0.1718286	A174	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3159403
875	-0.3165385	-0.8904536	0.4807176	-0.0501185	0.4307274	0.5929520	A213	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.2605423
876	1.4210514	0.7298294	0.2619483	1.3676416	2.6404120	0.7523573	A399	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.2784989
877	-0.8757931	-0.9221690	-0.7765051	-0.7589986	-0.6741149	-0.4127739	A93	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1581995
878	-0.8757931	-0.9221690	-0.7765051	-0.7589986	-0.6741149	-0.4127739	A93	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1581995
879	-0.4192393	-0.8904536	0.4473277	-0.0501185	-0.6741149	-0.4112055	A198	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.3144059
880	-0.6279629	-0.0817113	-0.9809003	-0.9201077	-0.6741149	-0.2987051	A113	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3149710
881	-1.2282677	-0.0817113	-0.5706123	-0.7589986	-0.6741149	-0.3735628	A116	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2266976
882	0.4108531	0.6794579	0.3976602	-0.0501185	-0.6741149	-0.3601190	A260	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.3140350
883	-0.1827985	-0.8904536	2.2859986	-0.0501185	-0.6741149	-0.3814050	A258	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.5764775
884	0.4108531	0.6794579	0.3976602	-0.0501185	-0.6741149	-0.3601190	A260	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.3140350
885	-0.3936861	0.6794579	0.2210352	-0.0501185	-0.6741149	-0.2045984	A232	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.3040587
886	-1.4853571	-0.9128409	-0.3010645	-0.7589986	-0.6741149	-0.2037357	A81	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2444403
887	0.4993957	-0.8904536	1.1952617	1.3676416	0.4307274	-0.0845206	A352	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.4454696
888	-1.0278237	-0.5669567	-0.2203591	-0.7589986	0.4307274	-0.1188024	A148	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3988678
889	-0.3936861	0.6794579	0.2210352	-0.0501185	-0.6741149	-0.2045984	A232	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.3917767
890	-0.3936861	0.6794579	0.2210352	-0.0501185	-0.6741149	-0.2045984	A232	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.3040587
891	-0.0610855	-0.7749190	-0.0064968	-0.1513871	2.6404120	0.6150383	A249	C142	0.1328959	0.6627507	0.4814828	-0.0248014	2.6404120	-0.9712527	0.6387512
892	-1.2159641	0.6794579	-0.2980092	-0.0501185	0.4307274	-0.9057141	A245	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.3404649
893	-0.4192393	-0.8904536	0.4473277	-0.0501185	-0.6741149	-0.4112055	A198	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.3144059
894	-0.8302786	-0.8904536	-0.2538603	-0.7589986	2.6404120	-0.3268150	A13	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.4810704
895	-1.4985500	-0.8904536	0.0129807	-0.7589986	0.4307274	-0.6340368	A139	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3574522
896	-0.3936861	0.6794579	0.2210352	-0.0501185	-0.6741149	-0.2045984	A232	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.3040587
897	-1.6129000	-0.9104844	-0.7514578	-0.7776534	-0.6741149	-0.3061668	A52	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1934329
898	-1.1499216	0.6794579	-0.7889058	-0.7589986	-0.6741149	-0.4031392	A129	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3398255
899	1.0866346	0.6794579	1.1952617	1.3676416	0.4307274	-0.1134248	A378	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.4376549
900	-0.3936861	0.6794579	0.2210352	-0.0501185	-0.6741149	-0.2045984	A232	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.3040587
901	0.2675685	-0.8904536	1.1952617	1.3676416	0.4307274	-0.4486241	A351	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.3511759
902	-0.8114247	-0.0817113	0.3027077	-0.0501185	0.4307274	-0.6491611	A242	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.5781745
903	0.1963468	0.6794579	0.4540057	-0.0501185	0.4307274	-0.5516934	A287	C297	0.2458726	0.5046167	-0.1059150	-0.1622064	0.4307274	0.6555503	0.3506032
904	-0.8757931	-0.9221690	-0.7765051	-0.7589986	-0.6741149	-0.4127739	A93	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1581995
905	-0.6073378	0.6794579	-0.0243806	-0.7589986	-0.6741149	0.1718286	A174	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3159403
906	2.0420963	2.2969425	0.9113238	-0.0501185	-0.3058341	-0.3395798	A393	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.6638782
907	1.3313500	-0.8904536	2.2859986	2.7854017	0.4307274	-0.3020224	A416	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.2733065
908	2.0420963	2.2969425	0.9113238	-0.0501185	-0.3058341	-0.3395798	A393	C219	1.9755430	0.5864499	0.2031375	-0.2014525	0.1203785	0.5809108	0.6638782
909	0.8082245	-0.8904536	1.1952617	1.3676416	2.6404120	-0.6084562	A401	C228	0.8544662	-0.8230415	0.4195786	1.3676416	-0.4672508	0.5202082	0.8542774
910	-0.5804512	0.1524946	-0.8864278	-0.8680571	0.4307274	-0.5785811	A164	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.5196174
911	-1.4853571	-0.9128409	-0.3010645	-0.7589986	-0.6741149	-0.2037357	A81	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2444403
912	-1.3283668	-0.8904536	-0.8125193	-0.7589986	-0.6741149	-0.5145252	A66	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1150137
913	-0.9967363	0.6794579	0.0767693	-0.7589986	-0.6741149	-0.4575867	A182	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.3210328
914	1.3313500	-0.8904536	2.2859986	2.7854017	0.4307274	-0.3020224	A416	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.2733065
915	-0.8302786	-0.8904536	-0.2538603	-0.7589986	2.6404120	-0.3268150	A13	C360	0.2356188	-0.4603485	-0.3744382	-0.4107768	2.6404120	0.5948051	0.4810704
916	0.1091055	0.6794579	1.4769355	-0.0501185	2.6404120	-0.6106394	A387	C142	0.1328959	0.6627507	0.4814828	-0.0248014	2.6404120	-0.9712527	0.2369801
917	-1.2806211	-1.0173151	-0.2850242	-0.0501185	-0.6741149	-0.2985014	A124	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3316817
918	-0.4305281	-0.8904536	-0.7454002	-0.0501185	-0.6741149	0.3331545	A133	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2587646
919	4.0729238	1.4882002	1.2936228	0.3043215	2.6404120	0.0700833	A434	C96	2.0782294	0.7478725	0.1122044	0.7127714	2.6404120	0.5611990	0.8026677
920	-0.8757931	-0.9221690	-0.7765051	-0.7589986	-0.6741149	-0.4127739	A93	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1581995
921	-0.6073378	0.6794579	-0.0243806	-0.7589986	-0.6741149	0.1718286	A174	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.3159403
922	-0.7924358	-0.8904536	0.4473277	-0.0501185	-0.6741149	-0.6832508	A186	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.4219462
923	-1.1017205	-0.8904536	-0.8144007	-0.7589986	-0.6741149	-0.8962798	A74	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1082291
924	-0.8114247	-0.0817113	0.3027077	-0.0501185	0.4307274	-0.6491611	A242	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.2678296
925	-0.1827985	-0.8904536	2.2859986	-0.0501185	-0.6741149	-0.3814050	A258	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.5764775
926	0.0277917	0.5410635	2.2859986	-0.0501185	-0.6741149	-0.3573691	A319	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.6062010
927	-0.6607113	0.6794579	-0.7840010	-0.7912204	-0.6741149	-0.7325739	A150	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3836774
928	0.2674915	-0.0817113	1.1952617	1.3676416	0.4307274	-0.7488695	A364	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.2100719
929	-0.4192393	-0.8904536	0.4473277	-0.0501185	-0.6741149	-0.4112055	A198	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.3144059
930	-1.2806211	-1.0173151	-0.2850242	-0.0501185	-0.6741149	-0.2985014	A124	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3316817
931	-1.7516938	-0.9221690	-0.6187378	-0.7589986	-0.6741149	-0.8799467	A41	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1865311
932	0.2307371	0.7046437	1.2113019	1.3676416	0.4307274	-0.7438610	A372	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.3187495
933	-0.6162509	0.6794579	0.0341895	-0.0501185	-0.6741149	-0.6510283	A224	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.2237006
934	0.6009959	0.6794579	1.1659430	1.3676416	0.4307274	-0.7045285	A376	C147	1.3221312	0.9897072	0.3646278	1.3676416	-0.0080377	0.6973599	0.6122255
935	-1.3016347	-0.0817113	0.2551503	-0.7589986	0.4307274	-0.9039216	A206	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.4054436
936	1.4079465	-0.8904536	2.2859986	2.7854017	0.4307274	-0.8217920	A419	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.3471686
937	-0.4157831	0.6794579	0.4591836	-0.0501185	-0.6741149	-0.6270957	A246	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.2514902
938	-0.4192393	-0.8904536	0.4473277	-0.0501185	-0.6741149	-0.4112055	A198	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.3144059
939	-0.6162509	0.6794579	0.0341895	-0.0501185	-0.6741149	-0.6510283	A224	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.2237006
940	-0.2770516	0.6794579	0.3247497	-0.0501185	0.4307274	-0.7399069	A276	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.2495755
941	0.0277917	0.5410635	2.2859986	-0.0501185	-0.6741149	-0.3573691	A319	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.6062010
942	1.0390496	0.6794579	2.2859986	2.7854017	0.4307274	-0.8442124	A421	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.3711582
943	-0.6980481	0.6794579	0.4256243	-0.0501185	0.4307274	-0.7773576	A272	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.1899801
944	-0.5246534	0.6794579	1.2309703	-0.0501185	0.4307274	-0.8317731	A303	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.5630211
945	-0.7924358	-0.8904536	0.4473277	-0.0501185	-0.6741149	-0.6832508	A186	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.4017059
946	-0.6607113	0.6794579	-0.7840010	-0.7912204	-0.6741149	-0.7325739	A150	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.4050144
947	-1.7516938	-0.9221690	-0.6187378	-0.7589986	-0.6741149	-0.8799467	A41	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1865311
948	0.4056575	-0.8904536	0.2642397	-0.0501185	-0.6741149	-0.3410735	A217	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.2819138
949	-0.5085304	-0.8904536	0.4473277	-0.0501185	0.4307274	-0.4729510	A227	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.4933212
950	-0.2770516	0.6794579	0.3247497	-0.0501185	0.4307274	-0.7399069	A276	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.2495755
951	-0.4192393	-0.8904536	0.4473277	-0.0501185	-0.6741149	-0.4112055	A198	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.3144059
952	0.2404356	-0.8904536	1.1952617	1.3676416	0.4307274	-0.8393912	A358	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.3644585
953	-1.2334850	-0.9285121	-0.8494806	-0.8298866	0.4307274	-0.4562423	A86	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2671521
954	0.6256068	-0.8904536	1.1952617	1.3676416	0.4307274	-0.7207015	A361	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.3947997
955	-0.6162509	0.6794579	0.0341895	-0.0501185	-0.6741149	-0.6510283	A224	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.2237006
956	0.1091055	0.6794579	1.4769355	-0.0501185	2.6404120	-0.6106394	A387	C142	0.1328959	0.6627507	0.4814828	-0.0248014	2.6404120	-0.9712527	0.2369801
957	1.0390496	0.6794579	2.2859986	2.7854017	0.4307274	-0.8442124	A421	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.3711582
958	-0.6607113	0.6794579	-0.7840010	-0.7912204	-0.6741149	-0.7325739	A150	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3836774
959	0.2675685	-0.8904536	1.1952617	1.3676416	0.4307274	-0.4486241	A351	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.3511759
960	0.2675685	-0.8904536	1.1952617	1.3676416	0.4307274	-0.4486241	A351	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.3511759
961	1.0390496	0.6794579	2.2859986	2.7854017	0.4307274	-0.8442124	A421	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.3711582
962	-1.3283668	-0.8904536	-0.8125193	-0.7589986	-0.6741149	-0.5145252	A66	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1150137
963	-0.5085304	-0.8904536	0.4473277	-0.0501185	0.4307274	-0.4729510	A227	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.4125301
964	-0.6162509	0.6794579	0.0341895	-0.0501185	-0.6741149	-0.6510283	A224	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.2237006
965	0.1091055	0.6794579	1.4769355	-0.0501185	2.6404120	-0.6106394	A387	C142	0.1328959	0.6627507	0.4814828	-0.0248014	2.6404120	-0.9712527	0.2369801
966	0.6009959	0.6794579	1.1659430	1.3676416	0.4307274	-0.7045285	A376	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.3599608
967	-0.4192393	-0.8904536	0.4473277	-0.0501185	-0.6741149	-0.4112055	A198	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.3144059
968	-1.3283668	-0.8904536	-0.8125193	-0.7589986	-0.6741149	-0.5145252	A66	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1150137
969	-0.8757931	-0.9221690	-0.7765051	-0.7589986	-0.6741149	-0.4127739	A93	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1581995
970	-0.4157831	0.6794579	0.4591836	-0.0501185	-0.6741149	-0.6270957	A246	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.2514902
971	-0.4157831	0.6794579	0.4591836	-0.0501185	-0.6741149	-0.6270957	A246	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.2514902
972	-0.2791298	0.2227564	2.2859986	-0.0501185	0.4307274	-0.5463159	A339	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.4623280
973	-0.8114247	-0.0817113	0.3027077	-0.0501185	0.4307274	-0.6491611	A242	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.2678296
974	-1.2282677	-0.0817113	-0.5706123	-0.7589986	-0.6741149	-0.3735628	A116	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.2266976
975	0.2675685	-0.8904536	1.1952617	1.3676416	0.4307274	-0.4486241	A351	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.3511759
976	0.1662244	0.6794579	-0.6268534	-0.0501185	-0.6741149	-0.8491380	A229	C326	0.4078813	0.4460352	-0.0758046	-0.2045827	-0.6741149	0.6597676	0.4482497
977	1.3313500	-0.8904536	2.2859986	2.7854017	0.4307274	-0.3020224	A416	C55	1.4810668	0.0181922	2.3175726	2.6287019	0.1225346	-0.2170130	0.2733065
978	-0.3078791	0.6794579	-0.9506660	-0.8919136	-0.6741149	-0.1366154	A146	C434	-0.4996726	0.3958051	-0.8430922	-0.8445203	-0.5645193	0.6623233	0.2564913
979	-0.8114247	-0.0817113	0.3027077	-0.0501185	0.4307274	-0.6491611	A242	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.2678296
980	0.0277917	0.5410635	2.2859986	-0.0501185	-0.6741149	-0.3573691	A319	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.6062010
981	-1.3283668	-0.8904536	-0.8125193	-0.7589986	-0.6741149	-0.5145252	A66	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1150137
982	0.2674915	-0.0817113	1.1952617	1.3676416	0.4307274	-0.7488695	A364	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.2100719
983	-0.8757931	-0.9221690	-0.7765051	-0.7589986	-0.6741149	-0.4127739	A93	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1581995
984	0.9212868	2.2969425	1.2165098	1.3676416	0.4307274	-0.7936822	A403	C57	0.1798241	1.6748331	2.0467757	1.3131124	0.3882335	-1.9684654	0.5776074
985	-0.8114247	-0.0817113	0.3027077	-0.0501185	0.4307274	-0.6491611	A242	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.2678296
986	-1.3267470	-0.8904536	0.0608952	-0.7589986	-0.6741149	-0.6538665	A111	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1995789
987	-1.3267470	-0.8904536	0.0608952	-0.7589986	-0.6741149	-0.6538665	A111	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1995789
988	0.1133686	0.6794579	0.1407827	-0.0501185	2.6404120	-0.3893334	A344	C142	0.1328959	0.6627507	0.4814828	-0.0248014	2.6404120	-0.9712527	0.1640285
989	-1.3283668	-0.8904536	-0.8125193	-0.7589986	-0.6741149	-0.5145252	A66	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1150137
990	-0.4192393	-0.8904536	0.4473277	-0.0501185	-0.6741149	-0.4112055	A198	C384	-0.0359246	-0.9572228	0.0505756	-0.1222502	-0.6547317	0.5368788	0.3144059
991	0.2674915	-0.0817113	1.1952617	1.3676416	0.4307274	-0.7488695	A364	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.2100719
992	0.2674915	-0.0817113	1.1952617	1.3676416	0.4307274	-0.7488695	A364	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.2100719
993	0.2675685	-0.8904536	1.1952617	1.3676416	0.4307274	-0.4486241	A351	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.3511759
994	0.2675685	-0.8904536	1.1952617	1.3676416	0.4307274	-0.4486241	A351	C130	0.2826529	-0.0067137	1.6381330	0.9923522	0.2097590	-0.6177263	0.3511759
995	-0.4157831	0.6794579	0.4591836	-0.0501185	-0.6741149	-0.6270957	A246	C306	-0.7716661	0.5467115	0.2755179	-0.2228202	-0.1702066	-0.7871317	0.2514902
996	-1.3267470	-0.8904536	0.0608952	-0.7589986	-0.6741149	-0.6538665	A111	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.1995789
997	-0.5085304	-0.8904536	0.4473277	-0.0501185	0.4307274	-0.4729510	A227	C414	-0.4728276	-0.8354472	-0.4305269	-0.4820923	0.4307274	0.6016920	0.4125301
998	-1.1499216	0.6794579	-0.7889058	-0.7589986	-0.6741149	-0.4031392	A129	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3398255
999	-0.7834052	-0.0817113	0.3833304	-0.7589986	2.6404120	-0.9991806	A295	C142	0.1328959	0.6627507	0.4814828	-0.0248014	2.6404120	-0.9712527	0.4201735
1000	-1.1499216	0.6794579	-0.7889058	-0.7589986	-0.6741149	-0.4031392	A129	C478	-1.1829114	-0.7922801	-0.6999883	-0.7557764	-0.5234546	-0.6945646	0.3398255

hist(sorted_df$diff, breaks = 20, col = "blue", main = "Mean Absolute Difference", xlab = "Difference")

Figure 22: Mean Absolute Difference

muHVT: Predicting Cells with Layers using predictLayerHVT

Zubin Dowlaty, Srinivasan Sudarsanam, Somya Shambhawi

2023-06-27

1 Abstract

2 Example: muHVT with the Personal Computer dataset

3 Map A : Base Compressed Map

3.0.1 Iteration 1:

3.0.2 Iteration 2:

4 Map B : Compressed Novelty Map

4.1 Voronoi Tessellation with highlighted novelty cell

5 Map C : Compressed Map without Novelty

5.0.1 Iteration 1:

5.0.2 Iteration 2:

6 Prediction on Test Data

7 Executive Summary

8 References